diff --git a/docs/source/notebooks/model_averaging.ipynb b/docs/source/notebooks/model_averaging.ipynb
index c7bb6347c35..142565a59af 100644
--- a/docs/source/notebooks/model_averaging.ipynb
+++ b/docs/source/notebooks/model_averaging.ipynb
@@ -3,7 +3,22 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:13:02.933411Z",
+     "iopub.status.busy": "2020-11-29T12:13:02.932601Z",
+     "iopub.status.idle": "2020-11-29T12:13:07.788407Z",
+     "shell.execute_reply": "2020-11-29T12:13:07.787551Z"
+    },
+    "papermill": {
+     "duration": 4.910288,
+     "end_time": "2020-11-29T12:13:07.788552",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:02.878264",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import arviz as az\n",
@@ -16,16 +31,41 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:13:07.892230Z",
+     "iopub.status.busy": "2020-11-29T12:13:07.891323Z",
+     "iopub.status.idle": "2020-11-29T12:13:07.894867Z",
+     "shell.execute_reply": "2020-11-29T12:13:07.894173Z"
+    },
+    "papermill": {
+     "duration": 0.058811,
+     "end_time": "2020-11-29T12:13:07.895012",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:07.836201",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "%load_ext watermark\n",
+    "RANDOM_SEED = 8927\n",
+    "np.random.seed(RANDOM_SEED)\n",
     "az.style.use(\"arviz-darkgrid\")"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.068882,
+     "end_time": "2020-11-29T12:13:08.020372",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:07.951490",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "# Model averaging\n",
     "\n",
@@ -53,7 +93,7 @@
     "\n",
     "The third approach implemented in PyMC3 is know as _stacking of predictive distributions_ and it has been recently [proposed](https://arxiv.org/abs/1704.02030). We want to combine several models in a metamodel in order to minimize the diverge between the meta-model and the _true_ generating model, when using a logarithmic scoring rule this is equivalently to:\n",
     "\n",
-    "$$\\max_{n} \\frac{1}{n} \\sum_{i=1}^{n}log\\sum_{k=1}^{K} w_k p(y_i|y_{-i}, M_k)$$\n",
+    "$$\\max_{w} \\frac{1}{n} \\sum_{i=1}^{n}log\\sum_{k=1}^{K} w_k p(y_i|y_{-i}, M_k)$$\n",
     "\n",
     "Where $n$ is the number of data points and $K$ the number of models. To enforce a solution we constrain $w$ to be $w_k \\ge 0$ and  $\\sum_{k=1}^{K} w_k = 1$. \n",
     "\n",
@@ -77,7 +117,22 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:13:08.144584Z",
+     "iopub.status.busy": "2020-11-29T12:13:08.143734Z",
+     "iopub.status.idle": "2020-11-29T12:13:09.195932Z",
+     "shell.execute_reply": "2020-11-29T12:13:09.195153Z"
+    },
+    "papermill": {
+     "duration": 1.114901,
+     "end_time": "2020-11-29T12:13:09.196103",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:08.081202",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -109,32 +164,32 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>0.49</td>\n",
-       "      <td>-0.123706</td>\n",
-       "      <td>-0.831353</td>\n",
+       "      <td>-12.415882</td>\n",
+       "      <td>-0.831486</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <th>5</th>\n",
        "      <td>0.47</td>\n",
-       "      <td>-0.030706</td>\n",
-       "      <td>0.158647</td>\n",
+       "      <td>-3.035882</td>\n",
+       "      <td>0.158913</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>6</th>\n",
        "      <td>0.56</td>\n",
-       "      <td>-0.030706</td>\n",
-       "      <td>0.181647</td>\n",
+       "      <td>-3.035882</td>\n",
+       "      <td>0.181513</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>7</th>\n",
        "      <td>0.89</td>\n",
-       "      <td>0.000294</td>\n",
-       "      <td>-0.579353</td>\n",
+       "      <td>0.064118</td>\n",
+       "      <td>-0.579032</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>9</th>\n",
        "      <td>0.92</td>\n",
-       "      <td>0.012294</td>\n",
-       "      <td>-1.885353</td>\n",
+       "      <td>1.274118</td>\n",
+       "      <td>-1.884978</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -142,11 +197,11 @@
       ],
       "text/plain": [
        "   kcal.per.g  neocortex  log_mass\n",
-       "0        0.49  -0.123706 -0.831353\n",
-       "1        0.47  -0.030706  0.158647\n",
-       "2        0.56  -0.030706  0.181647\n",
-       "3        0.89   0.000294 -0.579353\n",
-       "4        0.92   0.012294 -1.885353"
+       "0        0.49 -12.415882 -0.831486\n",
+       "5        0.47  -3.035882  0.158913\n",
+       "6        0.56  -3.035882  0.181513\n",
+       "7        0.89   0.064118 -0.579032\n",
+       "9        0.92   1.274118 -1.884978"
       ]
      },
      "execution_count": 4,
@@ -155,14 +210,29 @@
     }
    ],
    "source": [
-    "d = pd.read_csv(\"../data/milk.csv\")\n",
+    "d = pd.read_csv(\n",
+    "    \"https://raw.githubusercontent.com/pymc-devs/resources/master/Rethinking_2/Data/milk.csv\",\n",
+    "    sep=\";\",\n",
+    ")\n",
+    "d = d[[\"kcal.per.g\", \"neocortex.perc\", \"mass\"]].rename({\"neocortex.perc\": \"neocortex\"}, axis=1)\n",
+    "d[\"log_mass\"] = np.log(d[\"mass\"])\n",
+    "d = d[~d.isna().any(axis=1)].drop(\"mass\", axis=1)\n",
     "d.iloc[:, 1:] = d.iloc[:, 1:] - d.iloc[:, 1:].mean()\n",
     "d.head()"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.048113,
+     "end_time": "2020-11-29T12:13:09.292526",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:09.244413",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "Now that we have the data we are going to build our first model using only the `neocortex`."
    ]
@@ -170,18 +240,23 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n"
-     ]
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:13:09.398746Z",
+     "iopub.status.busy": "2020-11-29T12:13:09.397992Z",
+     "iopub.status.idle": "2020-11-29T12:14:25.302878Z",
+     "shell.execute_reply": "2020-11-29T12:14:25.302236Z"
     },
+    "papermill": {
+     "duration": 75.962348,
+     "end_time": "2020-11-29T12:14:25.303027",
+     "exception": false,
+     "start_time": "2020-11-29T12:13:09.340679",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
     {
      "data": {
       "text/html": [
@@ -199,7 +274,7 @@
        "                background: #F44336;\n",
        "            }\n",
        "        </style>\n",
-       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      <progress value='6000' class='' max='6000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
        "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
@@ -210,13 +285,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 4 seconds.\n"
-     ]
     }
    ],
    "source": [
@@ -233,7 +301,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.049578,
+     "end_time": "2020-11-29T12:14:25.401979",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:25.352401",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "The second model is exactly the same as the first one, except we now use the logarithm of the mass"
    ]
@@ -241,18 +318,23 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n"
-     ]
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:25.555260Z",
+     "iopub.status.busy": "2020-11-29T12:14:25.539644Z",
+     "iopub.status.idle": "2020-11-29T12:14:34.447027Z",
+     "shell.execute_reply": "2020-11-29T12:14:34.446251Z"
     },
+    "papermill": {
+     "duration": 8.996265,
+     "end_time": "2020-11-29T12:14:34.447153",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:25.450888",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
     {
      "data": {
       "text/html": [
@@ -270,8 +352,8 @@
        "                background: #F44336;\n",
        "            }\n",
        "        </style>\n",
-       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      <progress value='6000' class='' max='6000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:04<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -281,13 +363,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 3 seconds.\n"
-     ]
     }
    ],
    "source": [
@@ -305,7 +380,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.049839,
+     "end_time": "2020-11-29T12:14:34.547268",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:34.497429",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "And finally the third model using the `neocortex` and `log_mass` variables"
    ]
@@ -313,18 +397,23 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n"
-     ]
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:34.697854Z",
+     "iopub.status.busy": "2020-11-29T12:14:34.661734Z",
+     "iopub.status.idle": "2020-11-29T12:14:53.970926Z",
+     "shell.execute_reply": "2020-11-29T12:14:53.970230Z"
     },
+    "papermill": {
+     "duration": 19.373847,
+     "end_time": "2020-11-29T12:14:53.971081",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:34.597234",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
     {
      "data": {
       "text/html": [
@@ -342,8 +431,8 @@
        "                background: #F44336;\n",
        "            }\n",
        "        </style>\n",
-       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      <progress value='6000' class='' max='6000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:05<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -353,13 +442,6 @@
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 4 seconds.\n"
-     ]
     }
    ],
    "source": [
@@ -377,7 +459,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.050236,
+     "end_time": "2020-11-29T12:14:54.072799",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:54.022563",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "Now that we have sampled the posterior for the 3 models, we are going to compare them visually. One option is to use the `forestplot` function that supports plotting more than one trace."
    ]
@@ -385,11 +476,26 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:54.180944Z",
+     "iopub.status.busy": "2020-11-29T12:14:54.180156Z",
+     "iopub.status.idle": "2020-11-29T12:14:55.089754Z",
+     "shell.execute_reply": "2020-11-29T12:14:55.090580Z"
+    },
+    "papermill": {
+     "duration": 0.967337,
+     "end_time": "2020-11-29T12:14:55.090748",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:54.123411",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -405,7 +511,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.052958,
+     "end_time": "2020-11-29T12:14:55.196722",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:55.143764",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "Another option is to plot several traces in a same plot is to use `densityplot`. This plot is somehow similar to a forestplot, but we get truncated KDE plots (by default 95% credible intervals) grouped by variable names together with a point estimate (by default the mean)."
    ]
@@ -413,11 +528,26 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:55.317577Z",
+     "iopub.status.busy": "2020-11-29T12:14:55.315811Z",
+     "iopub.status.idle": "2020-11-29T12:14:57.865674Z",
+     "shell.execute_reply": "2020-11-29T12:14:57.866265Z"
+    },
+    "papermill": {
+     "duration": 2.61715,
+     "end_time": "2020-11-29T12:14:57.866426",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:55.249276",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1656x552 with 2 Axes>"
       ]
@@ -432,7 +562,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.055089,
+     "end_time": "2020-11-29T12:14:57.977616",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:57.922527",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "Now that we have sampled the posterior for the 3 models, we are going to use WAIC (Widely applicable information criterion) to compare the 3 models. We can do this using the `compare` function included with PyMC3."
    ]
@@ -440,16 +579,33 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:58.096083Z",
+     "iopub.status.busy": "2020-11-29T12:14:58.095174Z",
+     "iopub.status.idle": "2020-11-29T12:14:58.271990Z",
+     "shell.execute_reply": "2020-11-29T12:14:58.272778Z"
+    },
+    "papermill": {
+     "duration": 0.239084,
+     "end_time": "2020-11-29T12:14:58.272998",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:58.033914",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:150: UserWarning: \n",
+      "/opt/conda/lib/python3.7/site-packages/arviz/stats/stats.py:150: UserWarning: \n",
       "The scale is now log by default. Use 'scale' argument or 'stats.ic_scale' rcParam if you rely on a specific value.\n",
       "A higher log-score (or a lower deviance) indicates a model with better predictive accuracy.\n",
-      "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n"
+      "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n",
+      "/opt/conda/lib/python3.7/site-packages/arviz/stats/stats.py:684: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+      "  \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n"
      ]
     },
     {
@@ -488,36 +644,36 @@
        "    <tr>\n",
        "      <th>model_2</th>\n",
        "      <td>0</td>\n",
-       "      <td>7.54742</td>\n",
-       "      <td>2.69847</td>\n",
+       "      <td>8.10432</td>\n",
+       "      <td>3.4365</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.881161</td>\n",
-       "      <td>1.56652</td>\n",
+       "      <td>0.881318</td>\n",
+       "      <td>1.522</td>\n",
        "      <td>0</td>\n",
-       "      <td>False</td>\n",
+       "      <td>True</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>model_1</th>\n",
        "      <td>1</td>\n",
-       "      <td>4.41805</td>\n",
-       "      <td>2.07408</td>\n",
-       "      <td>3.12936</td>\n",
-       "      <td>0.0513577</td>\n",
-       "      <td>2.04406</td>\n",
-       "      <td>1.05462</td>\n",
+       "      <td>4.30275</td>\n",
+       "      <td>2.15052</td>\n",
+       "      <td>3.80157</td>\n",
+       "      <td>0.0495761</td>\n",
+       "      <td>2.02596</td>\n",
+       "      <td>1.79232</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>model_0</th>\n",
        "      <td>2</td>\n",
-       "      <td>3.5033</td>\n",
-       "      <td>1.98011</td>\n",
-       "      <td>4.04412</td>\n",
-       "      <td>0.0674812</td>\n",
-       "      <td>2.41377</td>\n",
-       "      <td>2.05646</td>\n",
+       "      <td>3.49421</td>\n",
+       "      <td>2.01803</td>\n",
+       "      <td>4.61011</td>\n",
+       "      <td>0.0691055</td>\n",
+       "      <td>2.61444</td>\n",
+       "      <td>2.5605</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
@@ -527,9 +683,9 @@
       ],
       "text/plain": [
        "        rank      loo    p_loo    d_loo     weight       se      dse warning  \\\n",
-       "model_2    0  7.54742  2.69847        0   0.881161  1.56652        0   False   \n",
-       "model_1    1  4.41805  2.07408  3.12936  0.0513577  2.04406  1.05462   False   \n",
-       "model_0    2   3.5033  1.98011  4.04412  0.0674812  2.41377  2.05646   False   \n",
+       "model_2    0  8.10432   3.4365        0   0.881318    1.522        0    True   \n",
+       "model_1    1  4.30275  2.15052  3.80157  0.0495761  2.02596  1.79232   False   \n",
+       "model_0    2  3.49421  2.01803  4.61011  0.0691055  2.61444   2.5605   False   \n",
        "\n",
        "        loo_scale  \n",
        "model_2       log  \n",
@@ -550,7 +706,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.056609,
+     "end_time": "2020-11-29T12:14:58.387481",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:58.330872",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "We can see that the best model is `model_2`, the one with both predictor variables. Notice the DataFrame is ordered from lowest to highest WAIC (_i.e_ from _better_ to _worst_ model). Check [this notebook](model_comparison.ipynb) for a more detailed discussing on model comparison.\n",
     "\n",
@@ -562,21 +727,75 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:14:58.524574Z",
+     "iopub.status.busy": "2020-11-29T12:14:58.514166Z",
+     "iopub.status.idle": "2020-11-29T12:15:29.907362Z",
+     "shell.execute_reply": "2020-11-29T12:15:29.906569Z"
+    },
+    "papermill": {
+     "duration": 31.463179,
+     "end_time": "2020-11-29T12:15:29.907492",
+     "exception": false,
+     "start_time": "2020-11-29T12:14:58.444313",
+     "status": "completed"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='1000' class='' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [1000/1000 00:25<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "ppc_w = pm.sample_posterior_predictive_w(\n",
     "    traces,\n",
     "    1000,\n",
     "    [model_0, model_1, model_2],\n",
     "    weights=comp.weight.sort_index(ascending=True),\n",
-    "    progressbar=False,\n",
+    "    progressbar=True,\n",
     ")"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.058454,
+     "end_time": "2020-11-29T12:15:30.024455",
+     "exception": false,
+     "start_time": "2020-11-29T12:15:29.966001",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "Notice that we are passing the weights ordered by their index. We are doing this because we pass `traces` and `models` ordered from model 0 to 2, but the computed weights are ordered from lowest to highest WAIC (or equivalently from larger to lowest weight). In summary, we must be sure that we are correctly pairing the weights and models.\n",
     "\n",
@@ -586,13 +805,28 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:15:32.303974Z",
+     "iopub.status.busy": "2020-11-29T12:15:30.150544Z",
+     "iopub.status.idle": "2020-11-29T12:15:55.286893Z",
+     "shell.execute_reply": "2020-11-29T12:15:55.286194Z"
+    },
+    "papermill": {
+     "duration": 25.204481,
+     "end_time": "2020-11-29T12:15:55.287049",
+     "exception": false,
+     "start_time": "2020-11-29T12:15:30.082568",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/pymc3/pymc3/sampling.py:1679: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n",
+      "/opt/conda/lib/python3.7/site-packages/pymc3/sampling.py:1692: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n",
       "  \"samples parameter is smaller than nchains times ndraws, some draws \"\n"
      ]
     }
@@ -603,7 +837,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.058214,
+     "end_time": "2020-11-29T12:15:55.404271",
+     "exception": false,
+     "start_time": "2020-11-29T12:15:55.346057",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "A simple way to compare both kind of predictions is to plot their mean and hpd interval"
    ]
@@ -611,19 +854,34 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:15:55.533847Z",
+     "iopub.status.busy": "2020-11-29T12:15:55.531792Z",
+     "iopub.status.idle": "2020-11-29T12:15:55.764004Z",
+     "shell.execute_reply": "2020-11-29T12:15:55.763252Z"
+    },
+    "papermill": {
+     "duration": 0.301319,
+     "end_time": "2020-11-29T12:15:55.764128",
+     "exception": false,
+     "start_time": "2020-11-29T12:15:55.462809",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:485: FutureWarning: hdi currently interprets 2d data as (draw, shape) but this will change in a future release to (chain, draw) for coherence with other functions\n",
+      "/opt/conda/lib/python3.7/site-packages/arviz/stats/stats.py:487: FutureWarning: hdi currently interprets 2d data as (draw, shape) but this will change in a future release to (chain, draw) for coherence with other functions\n",
       "  FutureWarning,\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x480 with 1 Axes>"
       ]
@@ -652,7 +910,16 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "papermill": {
+     "duration": 0.05969,
+     "end_time": "2020-11-29T12:15:55.884685",
+     "exception": false,
+     "start_time": "2020-11-29T12:15:55.824995",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "source": [
     "As we can see the mean value is almost the same for both predictions but the uncertainty in the weighted model is larger. We have effectively propagated the uncertainty about which model we should select to the posterior predictive samples. You can now try with the other two methods for computing weights `stacking` (the default and recommended method) and `pseudo-BMA`.\n",
     "\n",
@@ -665,28 +932,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
+   "execution_count": 15,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2020-11-29T12:16:06.337708Z",
+     "iopub.status.busy": "2020-11-29T12:16:06.336912Z",
+     "iopub.status.idle": "2020-11-29T12:16:06.392050Z",
+     "shell.execute_reply": "2020-11-29T12:16:06.391147Z"
+    },
+    "papermill": {
+     "duration": 0.127595,
+     "end_time": "2020-11-29T12:16:06.392237",
+     "exception": false,
+     "start_time": "2020-11-29T12:16:06.264642",
+     "status": "completed"
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "json     2.0.9\n",
-      "pymc3    3.9.3\n",
-      "numpy    1.18.5\n",
-      "autopep8 1.5\n",
-      "pandas   1.1.0\n",
-      "arviz    0.9.0\n",
-      "last updated: Thu Aug 13 2020 \n",
+      "Last updated: Sun Nov 29 2020\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.7.6\n",
+      "IPython version      : 7.13.0\n",
       "\n",
-      "CPython 3.7.6\n",
-      "IPython 7.17.0\n",
-      "watermark 2.0.2\n"
+      "pymc3     : 3.9.3\n",
+      "pandas    : 1.1.4\n",
+      "matplotlib: 3.2.1\n",
+      "numpy     : 1.18.5\n",
+      "arviz     : 0.10.0\n",
+      "\n",
+      "Watermark: 2.1.0\n",
+      "\n"
      ]
     }
    ],
    "source": [
+    "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"
    ]
   }