docs/source/notebooks/DEMetropolisZ_EfficiencyComparison.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DEMetropolis(Z): Population vs. History efficiency comparison\n",
    "The idea behind `DEMetropolis` is quite simple: Over time, a population of MCMC chains converges to the posterior, therefore the population can be used to inform joint proposals.\n",
    "But just like the most recent positions of an entire population converges, so does the history of each individual chain.\n",
    "\n",
    "In [ter Braak & Vrugt, 2008](https://doi.org/10.1007/s11222-008-9104-9) this history of posterior samples is used in the \"DE-MCMC-Z\" variant to make proposals.\n",
    "\n",
    "The implementation in PyMC3 is based on `DE-MCMC-Z`, but a few details are different. Namely, each `DEMetropolisZ` chain only looks into its own history. Also we use a different tuning scheme.\n",
    "\n",
    "In this notebook, a D-dimenstional multivariate normal target densities are sampled with `DEMetropolis` and `DEMetropolisZ` at different $N_{chains}$ settings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import cm\n",
    "import pathlib\n",
    "import ipywidgets\n",
    "import time\n",
    "import fastprogress\n",
    "import pymc3 as pm\n",
    "import arviz as az"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Benchmarking with a D-dimensional MVNormal model\n",
    "The function below constructs a fresh model for a given dimensionality and runs either `DEMetropolis` or `DEMetropolisZ` with the given settings. The resulting trace is saved with ArviZ.\n",
    "\n",
    "If the saved trace is already found, it is loaded from disk.\n",
    "\n",
    "Note that all traces are sampled with `cores=1`. This is because parallelization of `DEMetropolis` chains is slow at $O(N_{chains})$ and the comparison would be different depending on the number of available CPUs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_mvnormal_model(D:int) -> pm.Model:\n",
    "    true_mu = np.zeros(D)\n",
    "    true_cov = np.eye(D)\n",
    "    true_cov[:5,:5] = np.array([\n",
    "        [1, 0.5, 0, 0, 0],\n",
    "        [0.5, 2, 2, 0, 0],\n",
    "        [0, 2, 3, 0, 0],\n",
    "        [0, 0, 0, 4, 4],\n",
    "        [0, 0, 0, 4, 5],\n",
    "    ])\n",
    "\n",
    "    with pm.Model() as pmodel:\n",
    "        x = pm.MvNormal('x', mu=true_mu, cov=true_cov, shape=(D,))\n",
    "    \n",
    "    true_samples = x.random(size=1000)\n",
    "    truth_id = arviz.data.convert_to_inference_data(true_samples[np.newaxis,:], group='random')\n",
    "    return pmodel, truth_id\n",
    "\n",
    "def run_setting(D, N_tune, N_draws, N_chains, algorithm):\n",
    "    savename = f'{algorithm}_{D}_{N_tune}_{N_draws}_{N_chains}.nc'\n",
    "    print(f'Scenario filename: {savename}')\n",
    "    if not pathlib.Path(savename).exists():\n",
    "        pmodel, truth_id = get_mvnormal_model(D)\n",
    "        with pmodel:\n",
    "            if algorithm == 'DE-MCMC':\n",
    "                step = pm.DEMetropolis()\n",
    "            elif algorithm == 'DE-MCMC-Z':\n",
    "                step = pm.DEMetropolisZ()\n",
    "            t_start = time.time()\n",
    "            trace = pm.sample(\n",
    "                cores=1, tune=N_tune, draws=N_draws, chains=N_chains,\n",
    "                step=step,\n",
    "                start={'x': [0]*D},\n",
    "                discard_tuned_samples=False\n",
    "            )\n",
    "            t = time.time() - t_start\n",
    "        trace = az.from_pymc3(trace)\n",
    "        trace.sample_stats.attrs['t_sampling'] = t\n",
    "        trace.to_netcdf(savename)\n",
    "    else:\n",
    "        trace = az.from_netcdf(savename)\n",
    "        t = float(trace.sample_stats.t_sampling)\n",
    "    return t, trace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running the Benchmark Scenarios\n",
    "Here a variety of different scenarios is computed and the results are aggregated in a multi-indexed DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scenario filename: DE-MCMC-Z_10_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_10_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_20_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC-Z_40_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_10_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_20_10000_10000_80.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_5.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_10.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_20.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_30.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_40.nc\n",
      "Scenario filename: DE-MCMC_40_10000_10000_80.nc\n"
     ]
    }
   ],
   "source": [
    "df_results = pd.DataFrame(columns='algorithm,D,N_tune,N_draws,N_chains,t,trace'.split(','))\n",
    "df_results = df_results.set_index('algorithm,D,N_tune,N_draws,N_chains'.split(','))\n",
    "\n",
    "for algorithm in {'DE-MCMC', 'DE-MCMC-Z'}:\n",
    "    for D in (10, 20, 40):\n",
    "        N_tune = 10000\n",
    "        N_draws = 10000\n",
    "        for N_chains in (5,10,20,30,40,80):\n",
    "            t, trace = run_setting(D, N_tune, N_draws, N_chains, algorithm)\n",
    "            df_results.loc[(algorithm, D, N_tune, N_draws, N_chains)] = (t, trace)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>t</th>\n",
       "      <th>trace</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>algorithm</th>\n",
       "      <th>D</th>\n",
       "      <th>N_tune</th>\n",
       "      <th>N_draws</th>\n",
       "      <th>N_chains</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC-Z</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>71.638503</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>144.084210</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>294.116530</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>425.120003</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>559.172671</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1115.444842</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>72.920019</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>145.833869</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>284.143804</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>430.893903</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>574.449718</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1163.454674</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>75.096776</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>159.661833</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>329.414084</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>474.857136</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>646.029423</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1377.775875</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>71.592606</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>137.353182</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>276.090765</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>414.004901</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>553.609195</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1123.000902</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>73.768358</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>145.487072</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>288.841047</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>431.470670</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>554.470461</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1127.241532</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10000</th>\n",
       "      <th>5</th>\n",
       "      <td>75.026569</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>146.595495</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>292.587237</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>439.095635</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>583.402438</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>1213.149816</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                t  \\\n",
       "algorithm D  N_tune N_draws N_chains                \n",
       "DE-MCMC-Z 10 10000  10000   5           71.638503   \n",
       "                            10         144.084210   \n",
       "                            20         294.116530   \n",
       "                            30         425.120003   \n",
       "                            40         559.172671   \n",
       "                            80        1115.444842   \n",
       "          20 10000  10000   5           72.920019   \n",
       "                            10         145.833869   \n",
       "                            20         284.143804   \n",
       "                            30         430.893903   \n",
       "                            40         574.449718   \n",
       "                            80        1163.454674   \n",
       "          40 10000  10000   5           75.096776   \n",
       "                            10         159.661833   \n",
       "                            20         329.414084   \n",
       "                            30         474.857136   \n",
       "                            40         646.029423   \n",
       "                            80        1377.775875   \n",
       "DE-MCMC   10 10000  10000   5           71.592606   \n",
       "                            10         137.353182   \n",
       "                            20         276.090765   \n",
       "                            30         414.004901   \n",
       "                            40         553.609195   \n",
       "                            80        1123.000902   \n",
       "          20 10000  10000   5           73.768358   \n",
       "                            10         145.487072   \n",
       "                            20         288.841047   \n",
       "                            30         431.470670   \n",
       "                            40         554.470461   \n",
       "                            80        1127.241532   \n",
       "          40 10000  10000   5           75.026569   \n",
       "                            10         146.595495   \n",
       "                            20         292.587237   \n",
       "                            30         439.095635   \n",
       "                            40         583.402438   \n",
       "                            80        1213.149816   \n",
       "\n",
       "                                                                                  trace  \n",
       "algorithm D  N_tune N_draws N_chains                                                     \n",
       "DE-MCMC-Z 10 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "          20 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "          40 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "DE-MCMC   10 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "          20 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "          40 10000  10000   5         Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            10        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            20        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            30        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            40        Inference data with groups:\\n\\t> posterior\\n\\t...  \n",
       "                            80        Inference data with groups:\\n\\t> posterior\\n\\t...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing the traces\n",
    "From the traces, we need to compute the absolute and relative $N_{eff}$ and the $\\hat{R}$ to see if we can trust the posteriors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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   "source": [
    "df_temp = df_results.reset_index(['N_tune', 'N_draws'])\n",
    "df_temp['trace'] = [\n",
    "    az.from_pymc3(trace) if isinstance(trace, pm.backends.base.MultiTrace) else trace\n",
    "    for trace in df_temp.trace\n",
    "]\n",
    "df_temp['N_samples'] = [\n",
    "    row.N_draws * row.Index[2]\n",
    "    for row in df_temp.itertuples()\n",
    "]\n",
    "df_temp['ess'] = [\n",
    "    float(az.ess({\n",
    "        k : v[:,N_tune:,:]\n",
    "        for k, v in row.trace.posterior.items()\n",
    "    }).x.mean())\n",
    "    for row in fastprogress.progress_bar(list(df_temp.itertuples()))\n",
    "]\n",
    "df_temp['rel_ess'] = [\n",
    "    row.ess / (row.N_samples)\n",
    "    for row in df_temp.itertuples()\n",
    "]\n",
    "df_temp['r_hat'] = [\n",
    "    float(az.rhat({\n",
    "        k : v[:,N_tune:,:]\n",
    "        for k, v in trace.posterior.items()\n",
    "    }).x.mean())\n",
    "    for trace in fastprogress.progress_bar(df_temp.trace)\n",
    "]\n",
    "df_temp = df_temp.sort_index(level=['algorithm', 'D', 'N_chains'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>N_tune</th>\n",
       "      <th>N_draws</th>\n",
       "      <th>t</th>\n",
       "      <th>trace</th>\n",
       "      <th>N_samples</th>\n",
       "      <th>ess</th>\n",
       "      <th>rel_ess</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>algorithm</th>\n",
       "      <th>D</th>\n",
       "      <th>N_chains</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>71.592606</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>224.605055</td>\n",
       "      <td>0.004492</td>\n",
       "      <td>1.025571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>137.353182</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>3016.061876</td>\n",
       "      <td>0.030161</td>\n",
       "      <td>1.005408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>276.090765</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>5381.360417</td>\n",
       "      <td>0.026907</td>\n",
       "      <td>1.003745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>414.004901</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>8471.218392</td>\n",
       "      <td>0.028237</td>\n",
       "      <td>1.003086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>553.609195</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>11571.428960</td>\n",
       "      <td>0.028929</td>\n",
       "      <td>1.002937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1123.000902</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>24554.419715</td>\n",
       "      <td>0.030693</td>\n",
       "      <td>1.003088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>73.768358</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>135.767156</td>\n",
       "      <td>0.002715</td>\n",
       "      <td>1.110242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>145.487072</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1605.193474</td>\n",
       "      <td>0.016052</td>\n",
       "      <td>1.012529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>288.841047</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>3277.513344</td>\n",
       "      <td>0.016388</td>\n",
       "      <td>1.005955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>431.470670</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>3919.285234</td>\n",
       "      <td>0.013064</td>\n",
       "      <td>1.008160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>554.470461</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>5485.515010</td>\n",
       "      <td>0.013714</td>\n",
       "      <td>1.007481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1127.241532</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>11938.401456</td>\n",
       "      <td>0.014923</td>\n",
       "      <td>1.006540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>75.026569</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>249.326629</td>\n",
       "      <td>0.004987</td>\n",
       "      <td>1.062954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>146.595495</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>902.392521</td>\n",
       "      <td>0.009024</td>\n",
       "      <td>1.025805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>292.587237</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>2163.346284</td>\n",
       "      <td>0.010817</td>\n",
       "      <td>1.011570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>439.095635</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>2813.583805</td>\n",
       "      <td>0.009379</td>\n",
       "      <td>1.010899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>583.402438</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>2912.529669</td>\n",
       "      <td>0.007281</td>\n",
       "      <td>1.014285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1213.149816</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>5496.348168</td>\n",
       "      <td>0.006870</td>\n",
       "      <td>1.014178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"18\" valign=\"top\">DE-MCMC-Z</th>\n",
       "      <th rowspan=\"6\" valign=\"top\">10</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>71.638503</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>1580.527447</td>\n",
       "      <td>0.031611</td>\n",
       "      <td>1.003717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>144.084210</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>3192.398138</td>\n",
       "      <td>0.031924</td>\n",
       "      <td>1.002703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>294.116530</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>6460.945688</td>\n",
       "      <td>0.032305</td>\n",
       "      <td>1.003199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>425.120003</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>9665.277586</td>\n",
       "      <td>0.032218</td>\n",
       "      <td>1.002967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>559.172671</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>12686.896987</td>\n",
       "      <td>0.031717</td>\n",
       "      <td>1.003448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1115.444842</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>25705.513474</td>\n",
       "      <td>0.032132</td>\n",
       "      <td>1.003225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">20</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>72.920019</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>792.737081</td>\n",
       "      <td>0.015855</td>\n",
       "      <td>1.009094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>145.833869</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1655.966012</td>\n",
       "      <td>0.016560</td>\n",
       "      <td>1.007186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>284.143804</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>3213.376216</td>\n",
       "      <td>0.016067</td>\n",
       "      <td>1.007578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>430.893903</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>4669.483947</td>\n",
       "      <td>0.015565</td>\n",
       "      <td>1.008231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>574.449718</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>6308.618783</td>\n",
       "      <td>0.015772</td>\n",
       "      <td>1.007955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1163.454674</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>12507.685702</td>\n",
       "      <td>0.015635</td>\n",
       "      <td>1.007736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">40</th>\n",
       "      <th>5</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>75.096776</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>50000</td>\n",
       "      <td>599.445725</td>\n",
       "      <td>0.011989</td>\n",
       "      <td>1.015595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>159.661833</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>100000</td>\n",
       "      <td>1180.832672</td>\n",
       "      <td>0.011808</td>\n",
       "      <td>1.012672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>329.414084</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>200000</td>\n",
       "      <td>2312.391237</td>\n",
       "      <td>0.011562</td>\n",
       "      <td>1.012980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>474.857136</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>300000</td>\n",
       "      <td>3582.675025</td>\n",
       "      <td>0.011942</td>\n",
       "      <td>1.012529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>646.029423</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>400000</td>\n",
       "      <td>4708.997948</td>\n",
       "      <td>0.011772</td>\n",
       "      <td>1.012835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>10000</td>\n",
       "      <td>10000</td>\n",
       "      <td>1377.775875</td>\n",
       "      <td>Inference data with groups:\\n\\t&gt; posterior\\n\\t...</td>\n",
       "      <td>800000</td>\n",
       "      <td>9104.659771</td>\n",
       "      <td>0.011381</td>\n",
       "      <td>1.012359</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       N_tune  N_draws            t  \\\n",
       "algorithm D  N_chains                                 \n",
       "DE-MCMC   10 5          10000    10000    71.592606   \n",
       "             10         10000    10000   137.353182   \n",
       "             20         10000    10000   276.090765   \n",
       "             30         10000    10000   414.004901   \n",
       "             40         10000    10000   553.609195   \n",
       "             80         10000    10000  1123.000902   \n",
       "          20 5          10000    10000    73.768358   \n",
       "             10         10000    10000   145.487072   \n",
       "             20         10000    10000   288.841047   \n",
       "             30         10000    10000   431.470670   \n",
       "             40         10000    10000   554.470461   \n",
       "             80         10000    10000  1127.241532   \n",
       "          40 5          10000    10000    75.026569   \n",
       "             10         10000    10000   146.595495   \n",
       "             20         10000    10000   292.587237   \n",
       "             30         10000    10000   439.095635   \n",
       "             40         10000    10000   583.402438   \n",
       "             80         10000    10000  1213.149816   \n",
       "DE-MCMC-Z 10 5          10000    10000    71.638503   \n",
       "             10         10000    10000   144.084210   \n",
       "             20         10000    10000   294.116530   \n",
       "             30         10000    10000   425.120003   \n",
       "             40         10000    10000   559.172671   \n",
       "             80         10000    10000  1115.444842   \n",
       "          20 5          10000    10000    72.920019   \n",
       "             10         10000    10000   145.833869   \n",
       "             20         10000    10000   284.143804   \n",
       "             30         10000    10000   430.893903   \n",
       "             40         10000    10000   574.449718   \n",
       "             80         10000    10000  1163.454674   \n",
       "          40 5          10000    10000    75.096776   \n",
       "             10         10000    10000   159.661833   \n",
       "             20         10000    10000   329.414084   \n",
       "             30         10000    10000   474.857136   \n",
       "             40         10000    10000   646.029423   \n",
       "             80         10000    10000  1377.775875   \n",
       "\n",
       "                                                                   trace  \\\n",
       "algorithm D  N_chains                                                      \n",
       "DE-MCMC   10 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          20 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          40 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "DE-MCMC-Z 10 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          20 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "          40 5         Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             10        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             20        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             30        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             40        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "             80        Inference data with groups:\\n\\t> posterior\\n\\t...   \n",
       "\n",
       "                       N_samples           ess   rel_ess     r_hat  \n",
       "algorithm D  N_chains                                               \n",
       "DE-MCMC   10 5             50000    224.605055  0.004492  1.025571  \n",
       "             10           100000   3016.061876  0.030161  1.005408  \n",
       "             20           200000   5381.360417  0.026907  1.003745  \n",
       "             30           300000   8471.218392  0.028237  1.003086  \n",
       "             40           400000  11571.428960  0.028929  1.002937  \n",
       "             80           800000  24554.419715  0.030693  1.003088  \n",
       "          20 5             50000    135.767156  0.002715  1.110242  \n",
       "             10           100000   1605.193474  0.016052  1.012529  \n",
       "             20           200000   3277.513344  0.016388  1.005955  \n",
       "             30           300000   3919.285234  0.013064  1.008160  \n",
       "             40           400000   5485.515010  0.013714  1.007481  \n",
       "             80           800000  11938.401456  0.014923  1.006540  \n",
       "          40 5             50000    249.326629  0.004987  1.062954  \n",
       "             10           100000    902.392521  0.009024  1.025805  \n",
       "             20           200000   2163.346284  0.010817  1.011570  \n",
       "             30           300000   2813.583805  0.009379  1.010899  \n",
       "             40           400000   2912.529669  0.007281  1.014285  \n",
       "             80           800000   5496.348168  0.006870  1.014178  \n",
       "DE-MCMC-Z 10 5             50000   1580.527447  0.031611  1.003717  \n",
       "             10           100000   3192.398138  0.031924  1.002703  \n",
       "             20           200000   6460.945688  0.032305  1.003199  \n",
       "             30           300000   9665.277586  0.032218  1.002967  \n",
       "             40           400000  12686.896987  0.031717  1.003448  \n",
       "             80           800000  25705.513474  0.032132  1.003225  \n",
       "          20 5             50000    792.737081  0.015855  1.009094  \n",
       "             10           100000   1655.966012  0.016560  1.007186  \n",
       "             20           200000   3213.376216  0.016067  1.007578  \n",
       "             30           300000   4669.483947  0.015565  1.008231  \n",
       "             40           400000   6308.618783  0.015772  1.007955  \n",
       "             80           800000  12507.685702  0.015635  1.007736  \n",
       "          40 5             50000    599.445725  0.011989  1.015595  \n",
       "             10           100000   1180.832672  0.011808  1.012672  \n",
       "             20           200000   2312.391237  0.011562  1.012980  \n",
       "             30           300000   3582.675025  0.011942  1.012529  \n",
       "             40           400000   4708.997948  0.011772  1.012835  \n",
       "             80           800000   9104.659771  0.011381  1.012359  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Effective Sample Size\n",
    "In this diagram, we'll plot the relative effective sample size agains the number of chains.\n",
    "\n",
    "Because our computation above ran everything with $N_{cores}=1$, we can't make a realistic comparison of effective sampling rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1680x840 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, right = plt.subplots(dpi=140, ncols=1, sharey='row', figsize=(12,6))\n",
    "\n",
    "for algorithm, linestyle in zip(['DE-MCMC', 'DE-MCMC-Z'], ['-', '--']):\n",
    "    dimensionalities = list(sorted(set(df_temp.reset_index().D)))[::-1]\n",
    "    N_dimensionalities = len(dimensionalities)\n",
    "    for d, dim in enumerate(dimensionalities):\n",
    "        color = cm.autumn(d / N_dimensionalities)\n",
    "        df = df_temp.loc[(algorithm, dim)].reset_index()\n",
    "        right.plot(\n",
    "            df.N_chains,\n",
    "            df.rel_ess*100,\n",
    "            linestyle=linestyle,\n",
    "            color=color,\n",
    "            label=f'{algorithm}, {dim} dimensions'\n",
    "        )\n",
    "\n",
    "right.legend()\n",
    "right.set_ylabel('$S_{eff}$   [%]')\n",
    "right.set_xlabel('$N_{chains}$   [-]')\n",
    "right.set_ylim(0)\n",
    "right.set_xlim(0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Computation Time\n",
    "As all traces were sampled with `cores=1`, we expect the computation time to grow linearly with the number of samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x560 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(dpi=140)\n",
    "\n",
    "for alg in ['DE-MCMC', 'DE-MCMC-Z']:\n",
    "    df = df_temp.sort_values('N_samples').loc[alg]\n",
    "    ax.scatter(df.N_samples/1000, df.t, label=alg)\n",
    "ax.legend()\n",
    "ax.set_xlabel('$N_{samples} / 1000$   [-]')\n",
    "ax.set_ylabel('$t_{sampling}$   [s]')\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the Traces\n",
    "By comparing DE-MCMC and DE-MCMC-Z for a setting such as D=10, $N_{chains}$=5, you can see how DE-MCMC-Z has a clear advantage over a DE-MCMC that is run with too few chains."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1a0192f3411b4f198cbab50049935efc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='algorithm', options=('DE-MCMC', 'DE-MCMC-Z'), value='DE-MCMC'), Dr…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_trace(algorithm, D, N_chains):\n",
    "    n_plot = min(10, N_chains)\n",
    "    fig, axs = plt.subplots(nrows=n_plot, figsize=(12,2*n_plot))\n",
    "    trace = df_results.loc[(algorithm, D, 10000, 10000, N_chains), 'trace']\n",
    "    for c in range(n_plot):\n",
    "        samples = trace.posterior.x[c,:,0]\n",
    "        axs[c].plot(samples, linewidth=0.5)\n",
    "    plt.show();\n",
    "    return\n",
    "\n",
    "ipywidgets.interact_manual(\n",
    "    plot_trace,\n",
    "    algorithm=['DE-MCMC', 'DE-MCMC-Z'],\n",
    "    D=sorted(set(df_results.reset_index().D)),\n",
    "    N_chains=sorted(set(df_results.reset_index().N_chains)),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspecting the Sampler Stats\n",
    "With the following widget, you can explore the sampler stats to better understand the tuning phase.\n",
    "\n",
    "The `tune='lambda'` default setting of `DEMetropolisZ` improves the initial convergence by doing a swing-in that makes it diverge much faster than it would with a constant `lambda`. However, if the tuning is stopped too early, it can get stuck with a very inefficient `lambda`.\n",
    "\n",
    "Therefore, you should always inspect the `lambda` and rolling mean of `accepted` sampler stats when picking $N_{tune}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "edfa9feb596b46c598fb05a357eb76c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='sname', options=('accepted', 'scaling', 'accept', 'tune', 'lambda'…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_stat(*, sname:str='accepted', rolling=True, algorithm, D, N_chains):\n",
    "    fig, ax = plt.subplots(ncols=1, figsize=(12,7), sharey='row')\n",
    "    row = df_results.loc[(algorithm, D, 10000, 10000, N_chains)]\n",
    "    for c in df_results.trace[0].posterior.chain:\n",
    "        S = row.trace.sample_stats[sname][0,:]\n",
    "        y = pd.Series(S).rolling(window=500).mean().iloc[500-1:].values if rolling else S\n",
    "        ax.plot(\n",
    "            y,\n",
    "            linewidth=0.5\n",
    "        )\n",
    "    ax.set_xlabel('iteration')\n",
    "    ax.legend()\n",
    "    ax.set_ylabel(sname)\n",
    "    return\n",
    "\n",
    "ipywidgets.interact_manual(\n",
    "    plot_stat,\n",
    "    sname=set(df_results.trace[0].sample_stats.keys()),\n",
    "    rolling=True,\n",
    "    algorithm=['DE-MCMC-Z','DE-MCMC'],\n",
    "    D=sorted(set(df_results.reset_index().D)),\n",
    "    N_chains=sorted(set(df_results.reset_index().N_chains)),\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "When used with the recommended settings, `DEMetropolis` is on par with `DEMetropolisZ`. On high-dimensional problems however, `DEMetropolisZ` can achieve the same effective sample sizes with less chains.\n",
    "\n",
    "On problems where not enough CPUs are available to run $N_{chains}=2\\cdot D$ `DEMetropolis` chains, the `DEMetropolisZ` should have much better scaling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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\n",
          "text/plain": "<Figure size 864x720 with 5 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "0dfcb5af80da45b4b6e86f9dbb6cc551": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1122e58b14fe41ac8df4ef18ab3d40db": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_bb9615c8f4db47af92f4bbbeaad1a605",
       "outputs": [
        {
         "name": "stderr",
         "output_type": "stream",
         "text": "No handles with labels found to put in legend.\n"
        },
        {
         "data": {
          "image/png": 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       "outputs": [
        {
         "data": {
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\n",
          "text/plain": "<Figure size 864x720 with 5 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "255843a100ca4ad9b8bc7e1961f63aa1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "274dd9641aad43e7b233389805ffd482": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "5",
        "10",
        "20",
        "30",
        "40",
        "80"
       ],
       "description": "N_chains",
       "index": 0,
       "layout": "IPY_MODEL_64bd3d87132f493694626f8853f2a509",
       "style": "IPY_MODEL_471c3f58c543402981ae79eb88028351"
      }
     },
     "2f582d2d90fa49929f74d833f829a06a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "324edd286c044963b8778e917535963a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "32e11a32efdb4c64b5ae44c660631643": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3a8742ef43824b81a5a442b079464f23": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3b68a462ec3f433cbb01ed2f61198a06": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_ec45b68fae6942119dd7cf7d65c32b46",
       "outputs": [
        {
         "name": "stderr",
         "output_type": "stream",
         "text": "No handles with labels found to put in legend.\n"
        },
        {
         "data": {
          "image/png": 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      "state": {
       "layout": "IPY_MODEL_ac391c7f3ea44c50a6f02340ebcfc0c6",
       "outputs": [
        {
         "name": "stderr",
         "output_type": "stream",
         "text": "No handles with labels found to put in legend.\n"
        },
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 864x504 with 1 Axes>"
         },
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