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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9b22c91b-aa50-4807-a2c4-5d4ec91b7747",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "(hypothesis-testing)=\n",
+    "# Bayesian Hypothesis Testing - an introduction\n",
+    "\n",
+    ":::{post} December 2024\n",
+    ":tags: hypothesis testing, bayesian decision theory\n",
+    ":category: beginner \n",
+    ":author: Benjamin T. Vincent\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "a71c0158",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import arviz.preview as az\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pymc as pm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e8c93da2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%config InlineBackend.figure_format = 'retina'\n",
+    "az.style.use(\"arviz-variat\")\n",
+    "# We set the credible interval kind and probability globally\n",
+    "az.rcParams[\"stats.ci_kind\"] = \"hdi\"\n",
+    "az.rcParams[\"stats.ci_prob\"] = 0.95\n",
+    "SEED = 42\n",
+    "rng = np.random.default_rng(SEED)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a551c9b3",
+   "metadata": {},
+   "source": [
+    "## Introduction\n",
+    "\n",
+    "Bayesian hypothesis testing provides a flexible and intuitive way to assess whether parameters differ from specified values. Unlike classical methods focusing on p-values, Bayesian methods let us directly compute probabilities of hypotheses and quantify the strength of evidence in various ways.\n",
+    "\n",
+    "In this tutorial, we'll use PyMC to:\n",
+    "\n",
+    "* Fit a simple model to synthetic data and obtain samples from the prior and posterior distributions.\n",
+    "* Demonstrate the following Bayesian hypothesis testing methods:\n",
+    "  * Posterior probability statements\n",
+    "  * Highest Density Intervals (HDIs)\n",
+    "  * Regions of Practical Equivalence (ROPE)\n",
+    "  * Bayes Factors\n",
+    "\n",
+    "We'll work through a scenario where we want to know if the mean of some metric (e.g., monthly profit) is different from zero."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf2a9ed5",
+   "metadata": {},
+   "source": [
+    ":::{note}\n",
+    "Many Bayesian practitioners argue that collapsing a rich posterior distribution into a single binary decision (e.g., \"reject\" or \"fail to reject\") undermines the essence of Bayesian inference. The Bayesian perspective values the entire posterior as a nuanced representation of uncertainty about parameters. Reducing it to yes/no decisions discards that nuance and may mislead by oversimplifying the uncertainty involved.\n",
+    "\n",
+    "However, in real-world scenarios—such as policy-making, resource allocation, or medical decision-making—practitioners often must choose a single course of action. In such cases, translating the posterior into a decision rule or threshold is necessary. The key is to do so transparently and thoughtfully, ideally incorporating utilities, costs, and the full breadth of uncertainty in the decision process.\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6292d775",
+   "metadata": {},
+   "source": [
+    "### Parameter estimation vs model comparison\n",
+    "\n",
+    "The Bayesian evaluation of null values can proceed in two distinct ways (see {cite:t}`kruschke2011bayesian`):\n",
+    "\n",
+    "#### Parameter estimation\n",
+    "The parameter estimation approach considers a model where the parameter is allowed to vary (which includes the null value). We then compute the posterior distribution of this value and come up with some kind of decision rule which determines if we accept or reject the null value.\n",
+    "\n",
+    "#### Model comparison\n",
+    "Two competing models are considered. The first model assumes that the null value is true, or fixed, and the second model allows a range of values. The models are compared to see which is more supported by the data. An example would be in assessing if a coin is fair (null hypothesis) or biased (alternative hypothesis) - we would set up a model where the coin has a fixed probability of heads (0.5) and another model where the probability of heads is a free parameter. Readers are referred to the PyMC examples focussing on {ref}`pymc:model_comparison` for more details."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c268654",
+   "metadata": {},
+   "source": [
+    "## Setting up the example\n",
+    "\n",
+    "Rather than focus on a complex example, we'll pick a trivial one were we are simply estimating the mean of a single variable. This will allow us to focus on the hypothesis testing. The important thing is what we do with our MCMC samples, not the particulars of the model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "3f9fabda",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 2800x200 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 223,
+       "width": 2823
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "true_mu = 2.0\n",
+    "true_sigma = 3.0\n",
+    "n = 12\n",
+    "\n",
+    "x = rng.normal(loc=true_mu, scale=true_sigma, size=n)\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(14, 1))\n",
+    "ax.plot(x, np.zeros_like(x), \"ro\")\n",
+    "ax.set(yticklabels=[], yticks=[], xlabel=\"x\", title=\"Observations\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "159213a0",
+   "metadata": {},
+   "source": [
+    "## Sampling from the prior and posterior\n",
+    "\n",
+    "Now we'll build our simple model. Again, the focus here is not on the model of the data as such, but simply obtaining a meaningful prior and posterior distribution. We'll ask for more MCMC samples than we normally do, so that we can get a more accurate approximation of the prior and posterior distributions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bfaed521",
+   "metadata": {
+    "tags": [
+     "hide-output"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling: [mu, sigma, y]\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [mu, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fd258f88529447078b1695c28bfee5e2",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Output()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
+      ],
+      "text/plain": []
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 10_000 draw iterations (4_000 + 40_000 draws total) took 18 seconds.\n"
+     ]
+    }
+   ],
+   "source": [
+    "with pm.Model() as model:\n",
+    "    # priors\n",
+    "    mu = pm.Normal(\"mu\", mu=0, sigma=2)\n",
+    "    sigma = pm.Gamma(\"sigma\", alpha=2, beta=1)\n",
+    "    # likelihood\n",
+    "    pm.Normal(\"y\", mu=mu, sigma=sigma, observed=x)\n",
+    "    # sample\n",
+    "    idata = pm.sample_prior_predictive(samples=10_000)\n",
+    "    idata.extend(pm.sample(draws=10_000))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "790c4959",
+   "metadata": {},
+   "source": [
+    "We didn't get any warnings from the sampling processes.\n",
+    "\n",
+    "It is good practice to visualise the posterior distribution, so below we'll look at the joint posterior over $\\mu$ and $\\sigma$ parameters. Everything looks fine here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "59a1800f",
+   "metadata": {
+    "tags": [
+     "hide-input"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2400x837.092 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 860,
+       "width": 2423
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pc = az.plot_pair(idata, var_names=[\"mu\", \"sigma\"])\n",
+    "az.add_lines(\n",
+    "    pc, {\"mu\": idata.posterior[\"mu\"].mean().item(), \"sigma\": idata.posterior[\"sigma\"].mean().item()}\n",
+    ");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e55dda73",
+   "metadata": {},
+   "source": [
+    "Finally, seeing as $\\mu$ is the core parameter of interest, we'll visualise both the prior and posterior distributions for $\\mu$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c5e492bb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x535.887 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 559,
+       "width": 1211
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_prior_posterior(idata, var_names=\"mu\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d200233f",
+   "metadata": {},
+   "source": [
+    "## Bayesian hypothesis testing methods\n",
+    "\n",
+    "### Posterior probability statements\n",
+    "\n",
+    "The simplest form of hypothesis testing is to ask whether the mean is greater than zero. This is equivalent to asking whether the probability that $\\mu$ is greater than zero is greater than 0.5. We can compute this directly from the samples. So computing compute $P(\\mu>0 | x)$ is as simple as counting the number of samples where $\\mu>0$ and dividing by the total number of samples - equivalent to computing the mean of the samples where $\\mu>0$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "18369e50",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.951)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mu_samples = idata.posterior[\"mu\"].values\n",
+    "p_mu_greater_0 = np.mean(mu_samples > 0)\n",
+    "p_mu_greater_0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cea999e",
+   "metadata": {},
+   "source": [
+    "We can also include such information in a visual plot using `az.plot_posterior`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "d1d2997d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x535.887 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 559,
+       "width": 1223
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pc = az.plot_dist(idata, var_names=[\"mu\"], kind=\"ecdf\", visuals={\"credible_interval\": False})\n",
+    "az.add_lines(pc, 0);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52913dbd",
+   "metadata": {},
+   "source": [
+    "It could also be that we have some kind of minimum meaningful threshold that we care about. For example, we might care about whether the mean is greater than 0.1. We can compute this in the same way."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3790c7e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(0.938875)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "p_mu_greater = np.mean(mu_samples > 0.1)\n",
+    "p_mu_greater"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6511a148",
+   "metadata": {},
+   "source": [
+    "### Highest Density Intervals (HDIs)\n",
+    "\n",
+    "We can define an infinite number of intervals that contain a given probability mass (e.g., 95%). However, some intervals are more informative than others. The Highest Density Interval (HDI) is the narrowest interval that contains a given probability mass. This means that every point inside the HDI has a higher probability density than any point outside the HDI. If zero is outside the HDI, it’s unlikely the parameter is near zero."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8aed0b24",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-0.22,  2.89])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hdi_mu = az.hdi(idata.posterior[\"mu\"]).values\n",
+    "hdi_mu.round(2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c05274a2",
+   "metadata": {},
+   "source": [
+    "In this case, zero is within the HDI, so based on this measure, we can't express much confidence that the mean is different from zero."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f3365bc1",
+   "metadata": {},
+   "source": [
+    "Again, we can use `az.plot_posterior` to visualize the HDIs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "4c67ca02",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x535.887 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 559,
+       "width": 1223
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_dist(idata, var_names=\"mu\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2bc616ec",
+   "metadata": {},
+   "source": [
+    "### Region of Practical Equivalence (ROPE)\n",
+    "\n",
+    "If the probability that the parameter is within a certain range is high, we can say that the parameter is practically equivalent to that value. This is a useful way to express that we don't care about small differences. \n",
+    "\n",
+    "For example, if we state that values within $-0.1$ to $0.1$ (this region need not be symmetric) are practically equivalent to zero, we can compute the probability that $\\mu$ is within this range. If this probability is high enough then we can say that the mean is practically equivalent to zero."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "cb800bce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: \"►\";\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: \"▼\";\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: \"(\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: \")\";\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: \",\";\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-index-preview {\n",
+       "  grid-column: 2 / 5;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 8B\n",
+       "Dimensions:  ()\n",
+       "Data variables:\n",
+       "    mu       float64 8B 2.347</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b9c6f8ef-eff8-461e-9329-ba2914e7b988' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9c6f8ef-eff8-461e-9329-ba2914e7b988' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-16fb4142-fe26-4a37-a04c-98d2e25cd92b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-16fb4142-fe26-4a37-a04c-98d2e25cd92b' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2a46ef6f-fe04-47af-896f-575f29924438' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2a46ef6f-fe04-47af-896f-575f29924438' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>mu</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.347</div><input id='attrs-41dd51fe-66b6-40bf-8d3d-b03adabf32d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41dd51fe-66b6-40bf-8d3d-b03adabf32d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dabc3114-0010-45f9-a86d-7b251177b11b' class='xr-var-data-in' type='checkbox'><label for='data-dabc3114-0010-45f9-a86d-7b251177b11b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(2.34730665)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77f1851d-b3eb-45c6-bee8-2c983dc1b892' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-77f1851d-b3eb-45c6-bee8-2c983dc1b892' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fb54ace5-bae2-4717-8309-ed93b7ff5931' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fb54ace5-bae2-4717-8309-ed93b7ff5931' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset> Size: 8B\n",
+       "Dimensions:  ()\n",
+       "Data variables:\n",
+       "    mu       float64 8B 2.347"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.ci_in_rope(idata, var_names=\"mu\", rope=[-0.1, 0.1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d2cd3c3",
+   "metadata": {},
+   "source": [
+    "So there is only a 2.2% probability that the mean is practically equivalent to zero. This is sufficiently low that we can reject the hypothesis that the mean is practically equivalent to zero."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5a623e4a",
+   "metadata": {},
+   "source": [
+    "Third time in a row, `arviz` has our back and can plot the ROPE and HDIs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "1cdea94a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 1200x535.887 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 559,
+       "width": 1223
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pc = az.plot_dist(idata, var_names=[\"mu\"])\n",
+    "az.add_bands(pc, [(-0.1, 0.1)]);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fc84f7a",
+   "metadata": {},
+   "source": [
+    "The intuition we can get from this is that if the ROPE is narrow, we would require quite a high level of precision to accept the null hypthesis. The posterior distribution would have to be very tightly centered around the null value to have a large probability of being within the ROPE."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "46cf08f2",
+   "metadata": {},
+   "source": [
+    "### HDI+ROPE decision criteria"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de465219",
+   "metadata": {},
+   "source": [
+    "{cite:t}`kruschke2018rejecting` outlines the HDI+ROPE decision rule, which is summarised in the figure taken from that paper. Namely:\n",
+    "\n",
+    "* **Accept the null value**: If the HDI falls entirely within the ROPE. The HDI does not need to include the null value.\n",
+    "* **Reject the null value**: If the HDI falls entirely outside the ROPE. \n",
+    "* **Remain undecided**: If the HDI is partially or fully outside the ROPE.\n",
+    "\n",
+    "In our case, looking back at our posterior + ROPE plot above, we would remain undecided because the HDI does not fall entirely outside nor within the ROPE.\n",
+    "\n",
+    "![](hdi_plus_rope_decision_rule.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0524af06",
+   "metadata": {},
+   "source": [
+    "### Bayes Factors\n",
+    "\n",
+    "[Bayes Factors](https://en.wikipedia.org/wiki/Bayes_factor) provide a Bayesian alternative to classical hypothesis tests, allowing you to weigh evidence for one hypothesis relative to another. In the simplest case—testing whether $\\mu=0$ versus $\\mu \\neq 0$ — the Bayes Factor (BF) tells you how much more (or less) likely your observed data are under the model where $\\mu=0$ than under the model where $\\mu$ is free to vary.\n",
+    "\n",
+    "Intuitively, the Bayes Factor can be understood by comparing the density of $\\mu$ at zero before and after observing the data. Before collecting data, you have a prior belief about $\\mu$. This prior density at $\\mu=0$ represents how plausible zero was considered initially. After seeing the data, you update these beliefs to get the posterior distribution. The posterior density at $\\mu=0$ indicates how plausible zero remains given the evidence. The ratio of these densities—the Savage-Dickey ratio—is closely related to the Bayes Factor. If the data make \n",
+    "$\\mu=0$ more plausible relative to your initial belief, the Bayes Factor will favor  $\\mu=0$. If the data diminish the credibility of $\\mu=0$, the Bayes Factor will favor $\\mu\\neq0$\n",
+    "\n",
+    "Because the Bayes Factor directly compares how the data update the prior odds of each hypothesis, the choice of prior is crucial. A strong prior concentration at $\\mu=0$ could make it harder for data to move the posterior density away from zero, influencing the resulting Bayes Factor. On the other hand, a diffuse prior might make it easier for data to shift your beliefs about $\\mu$. Thus, specifying a reasonable and justifiable prior distribution is essential when using Bayes Factors for hypothesis testing."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "645e7fb3",
+   "metadata": {},
+   "source": [
+    "Yet again, `arviz` has a function to help us here. We can use `plot_bf` to compute the Bayes Factor for the hypothesis that $\\mu=0$ versus $\\mu\\neq0$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "16003a42",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x535.887 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 559,
+       "width": 1211
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_bf(idata, var_names=\"mu\", ref_val=0);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f10d77d2",
+   "metadata": {},
+   "source": [
+    "We can see that the probability of $\\mu=0$ has gone _down_ after observing the data. This is reflected in the value of $BF_{01}=0.54$ in that it is less than 1."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4283bdd3",
+   "metadata": {},
+   "source": [
+    "Readers are referred to {ref}`Bayes_factor` for a more detailed look at Bayes Factors."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650f409c",
+   "metadata": {},
+   "source": [
+    "## Summary\n",
+    "\n",
+    "**Posterior Probability Statements**  \n",
+    "- *Idea:* Compute $P(\\theta > \\delta \\mid \\text{data})$ directly from the posterior.  \n",
+    "- *Pros:* Simple, intuitive, no special tools needed.  \n",
+    "- *Cons:* Requires choosing a threshold $\\delta$.\n",
+    "\n",
+    "**Highest Density Intervals (HDIs)**  \n",
+    "- *Idea:* Identify the range of values containing a fixed portion (e.g., 95%) of the posterior mass.  \n",
+    "- *Pros:* Provides a clear summary of where the parameter lies; easy to interpret.  \n",
+    "- *Cons:* By itself, doesn’t encode a decision rule; must still choose what HDI exclusion implies.\n",
+    "\n",
+    "**ROPE (Region of Practical Equivalence)**  \n",
+    "- *Idea:* Define a small interval around the null (e.g., zero) representing negligible effect size and assess posterior mass within it.  \n",
+    "- *Pros:* Focuses on practical rather than just statistical significance; flexible.  \n",
+    "- *Cons:* Requires subjective definition of what counts as negligible.\n",
+    "\n",
+    "**ROPE + HDI Decision Rule**  \n",
+    "- *Idea:* Combine ROPE with HDI to classify results as negligible, meaningful, or inconclusive.  \n",
+    "- *Pros:* Offers a three-way decision with practical interpretation; balances interval uncertainty and practical thresholds.  \n",
+    "- *Cons:* Still needs careful definition of ROPE bounds and HDI level.\n",
+    "\n",
+    "**Bayes Factors**  \n",
+    "- *Idea:* Compare evidence for one model/hypothesis against another by ratio of marginal likelihoods.  \n",
+    "- *Pros:* Provides a direct measure of relative evidence; can be viewed as updating prior odds.  \n",
+    "- *Cons:* Sensitive to priors; can be computationally challenging; interpreting BF scales can be tricky."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "763e2a54",
+   "metadata": {},
+   "source": [
+    "## Authors\n",
+    "* Authored by [Benjamin T. Vincent](https://github.com/drbenvincent) in December, 2024.\n",
+    "* Updated by [Osvaldo Martin](https://aloctavodia.github.io/) in Dec, 2025."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2b3bbd1b",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    ":::{bibliography}\n",
+    ":filter: docname in docnames\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1aec5c13",
+   "metadata": {},
+   "source": [
+    "## Watermark"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "1f25d6b6-f0a1-4ca3-96f5-9a5a858bb461",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Wed Dec 31 2025\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.13.0\n",
+      "IPython version      : 9.1.0\n",
+      "\n",
+      "pytensor: 2.36.1\n",
+      "xarray  : 2025.3.1\n",
+      "\n",
+      "arviz     : 0.21.0\n",
+      "pymc      : 5.27.0\n",
+      "numpy     : 2.2.4\n",
+      "matplotlib: 3.10.1\n",
+      "\n",
+      "Watermark: 2.5.0\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -n -u -v -iv -w -p pytensor,xarray"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "818c2750-89d5-4310-8df2-91b1e531afe7",
+   "metadata": {},
+   "source": [
+    ":::{include} ../page_footer.md\n",
+    ":::"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "kulprit",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.0"
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+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/howto/hypothesis_testing.myst.md b/examples/howto/hypothesis_testing.myst.md
new file mode 100644
index 000000000..bf3818bf7
--- /dev/null
+++ b/examples/howto/hypothesis_testing.myst.md
@@ -0,0 +1,290 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+kernelspec:
+  display_name: kulprit
+  language: python
+  name: python3
+---
+
+(hypothesis-testing)=
+# Bayesian Hypothesis Testing - an introduction
+
+:::{post} December 2024
+:tags: hypothesis testing, bayesian decision theory
+:category: beginner 
+:author: Benjamin T. Vincent
+:::
+
+```{code-cell} ipython3
+import arviz.preview as az
+import matplotlib.pyplot as plt
+import numpy as np
+import pymc as pm
+```
+
+```{code-cell} ipython3
+%config InlineBackend.figure_format = 'retina'
+az.style.use("arviz-variat")
+# We set the credible interval kind and probability globally
+az.rcParams["stats.ci_kind"] = "hdi"
+az.rcParams["stats.ci_prob"] = 0.95
+SEED = 42
+rng = np.random.default_rng(SEED)
+```
+
+## Introduction
+
+Bayesian hypothesis testing provides a flexible and intuitive way to assess whether parameters differ from specified values. Unlike classical methods focusing on p-values, Bayesian methods let us directly compute probabilities of hypotheses and quantify the strength of evidence in various ways.
+
+In this tutorial, we'll use PyMC to:
+
+* Fit a simple model to synthetic data and obtain samples from the prior and posterior distributions.
+* Demonstrate the following Bayesian hypothesis testing methods:
+  * Posterior probability statements
+  * Highest Density Intervals (HDIs)
+  * Regions of Practical Equivalence (ROPE)
+  * Bayes Factors
+
+We'll work through a scenario where we want to know if the mean of some metric (e.g., monthly profit) is different from zero.
+
++++
+
+:::{note}
+Many Bayesian practitioners argue that collapsing a rich posterior distribution into a single binary decision (e.g., "reject" or "fail to reject") undermines the essence of Bayesian inference. The Bayesian perspective values the entire posterior as a nuanced representation of uncertainty about parameters. Reducing it to yes/no decisions discards that nuance and may mislead by oversimplifying the uncertainty involved.
+
+However, in real-world scenarios—such as policy-making, resource allocation, or medical decision-making—practitioners often must choose a single course of action. In such cases, translating the posterior into a decision rule or threshold is necessary. The key is to do so transparently and thoughtfully, ideally incorporating utilities, costs, and the full breadth of uncertainty in the decision process.
+:::
+
++++
+
+### Parameter estimation vs model comparison
+
+The Bayesian evaluation of null values can proceed in two distinct ways (see {cite:t}`kruschke2011bayesian`):
+
+#### Parameter estimation
+The parameter estimation approach considers a model where the parameter is allowed to vary (which includes the null value). We then compute the posterior distribution of this value and come up with some kind of decision rule which determines if we accept or reject the null value.
+
+#### Model comparison
+Two competing models are considered. The first model assumes that the null value is true, or fixed, and the second model allows a range of values. The models are compared to see which is more supported by the data. An example would be in assessing if a coin is fair (null hypothesis) or biased (alternative hypothesis) - we would set up a model where the coin has a fixed probability of heads (0.5) and another model where the probability of heads is a free parameter. Readers are referred to the PyMC examples focussing on {ref}`pymc:model_comparison` for more details.
+
++++
+
+## Setting up the example
+
+Rather than focus on a complex example, we'll pick a trivial one were we are simply estimating the mean of a single variable. This will allow us to focus on the hypothesis testing. The important thing is what we do with our MCMC samples, not the particulars of the model.
+
+```{code-cell} ipython3
+true_mu = 2.0
+true_sigma = 3.0
+n = 12
+
+x = rng.normal(loc=true_mu, scale=true_sigma, size=n)
+
+fig, ax = plt.subplots(figsize=(14, 1))
+ax.plot(x, np.zeros_like(x), "ro")
+ax.set(yticklabels=[], yticks=[], xlabel="x", title="Observations");
+```
+
+## Sampling from the prior and posterior
+
+Now we'll build our simple model. Again, the focus here is not on the model of the data as such, but simply obtaining a meaningful prior and posterior distribution. We'll ask for more MCMC samples than we normally do, so that we can get a more accurate approximation of the prior and posterior distributions.
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+with pm.Model() as model:
+    # priors
+    mu = pm.Normal("mu", mu=0, sigma=2)
+    sigma = pm.Gamma("sigma", alpha=2, beta=1)
+    # likelihood
+    pm.Normal("y", mu=mu, sigma=sigma, observed=x)
+    # sample
+    idata = pm.sample_prior_predictive(samples=10_000)
+    idata.extend(pm.sample(draws=10_000))
+```
+
+We didn't get any warnings from the sampling processes.
+
+It is good practice to visualise the posterior distribution, so below we'll look at the joint posterior over $\mu$ and $\sigma$ parameters. Everything looks fine here.
+
+```{code-cell} ipython3
+:tags: [hide-input]
+
+pc = az.plot_pair(idata, var_names=["mu", "sigma"])
+az.add_lines(
+    pc, {"mu": idata.posterior["mu"].mean().item(), "sigma": idata.posterior["sigma"].mean().item()}
+);
+```
+
+Finally, seeing as $\mu$ is the core parameter of interest, we'll visualise both the prior and posterior distributions for $\mu$.
+
+```{code-cell} ipython3
+az.plot_prior_posterior(idata, var_names="mu");
+```
+
+## Bayesian hypothesis testing methods
+
+### Posterior probability statements
+
+The simplest form of hypothesis testing is to ask whether the mean is greater than zero. This is equivalent to asking whether the probability that $\mu$ is greater than zero is greater than 0.5. We can compute this directly from the samples. So computing compute $P(\mu>0 | x)$ is as simple as counting the number of samples where $\mu>0$ and dividing by the total number of samples - equivalent to computing the mean of the samples where $\mu>0$.
+
+```{code-cell} ipython3
+mu_samples = idata.posterior["mu"].values
+p_mu_greater_0 = np.mean(mu_samples > 0)
+p_mu_greater_0
+```
+
+We can also include such information in a visual plot using `az.plot_posterior`.
+
+```{code-cell} ipython3
+pc = az.plot_dist(idata, var_names=["mu"], kind="ecdf", visuals={"credible_interval": False})
+az.add_lines(pc, 0);
+```
+
+It could also be that we have some kind of minimum meaningful threshold that we care about. For example, we might care about whether the mean is greater than 0.1. We can compute this in the same way.
+
+```{code-cell} ipython3
+p_mu_greater = np.mean(mu_samples > 0.1)
+p_mu_greater
+```
+
+### Highest Density Intervals (HDIs)
+
+We can define an infinite number of intervals that contain a given probability mass (e.g., 95%). However, some intervals are more informative than others. The Highest Density Interval (HDI) is the narrowest interval that contains a given probability mass. This means that every point inside the HDI has a higher probability density than any point outside the HDI. If zero is outside the HDI, it’s unlikely the parameter is near zero.
+
+```{code-cell} ipython3
+hdi_mu = az.hdi(idata.posterior["mu"]).values
+hdi_mu.round(2)
+```
+
+In this case, zero is within the HDI, so based on this measure, we can't express much confidence that the mean is different from zero.
+
++++
+
+Again, we can use `az.plot_posterior` to visualize the HDIs.
+
+```{code-cell} ipython3
+az.plot_dist(idata, var_names="mu");
+```
+
+### Region of Practical Equivalence (ROPE)
+
+If the probability that the parameter is within a certain range is high, we can say that the parameter is practically equivalent to that value. This is a useful way to express that we don't care about small differences. 
+
+For example, if we state that values within $-0.1$ to $0.1$ (this region need not be symmetric) are practically equivalent to zero, we can compute the probability that $\mu$ is within this range. If this probability is high enough then we can say that the mean is practically equivalent to zero.
+
+```{code-cell} ipython3
+az.ci_in_rope(idata, var_names="mu", rope=[-0.1, 0.1])
+```
+
+So there is only a 2.2% probability that the mean is practically equivalent to zero. This is sufficiently low that we can reject the hypothesis that the mean is practically equivalent to zero.
+
++++
+
+Third time in a row, `arviz` has our back and can plot the ROPE and HDIs.
+
+```{code-cell} ipython3
+pc = az.plot_dist(idata, var_names=["mu"])
+az.add_bands(pc, [(-0.1, 0.1)]);
+```
+
+The intuition we can get from this is that if the ROPE is narrow, we would require quite a high level of precision to accept the null hypthesis. The posterior distribution would have to be very tightly centered around the null value to have a large probability of being within the ROPE.
+
++++
+
+### HDI+ROPE decision criteria
+
++++
+
+{cite:t}`kruschke2018rejecting` outlines the HDI+ROPE decision rule, which is summarised in the figure taken from that paper. Namely:
+
+* **Accept the null value**: If the HDI falls entirely within the ROPE. The HDI does not need to include the null value.
+* **Reject the null value**: If the HDI falls entirely outside the ROPE. 
+* **Remain undecided**: If the HDI is partially or fully outside the ROPE.
+
+In our case, looking back at our posterior + ROPE plot above, we would remain undecided because the HDI does not fall entirely outside nor within the ROPE.
+
+![](hdi_plus_rope_decision_rule.png)
+
++++
+
+### Bayes Factors
+
+[Bayes Factors](https://en.wikipedia.org/wiki/Bayes_factor) provide a Bayesian alternative to classical hypothesis tests, allowing you to weigh evidence for one hypothesis relative to another. In the simplest case—testing whether $\mu=0$ versus $\mu \neq 0$ — the Bayes Factor (BF) tells you how much more (or less) likely your observed data are under the model where $\mu=0$ than under the model where $\mu$ is free to vary.
+
+Intuitively, the Bayes Factor can be understood by comparing the density of $\mu$ at zero before and after observing the data. Before collecting data, you have a prior belief about $\mu$. This prior density at $\mu=0$ represents how plausible zero was considered initially. After seeing the data, you update these beliefs to get the posterior distribution. The posterior density at $\mu=0$ indicates how plausible zero remains given the evidence. The ratio of these densities—the Savage-Dickey ratio—is closely related to the Bayes Factor. If the data make 
+$\mu=0$ more plausible relative to your initial belief, the Bayes Factor will favor  $\mu=0$. If the data diminish the credibility of $\mu=0$, the Bayes Factor will favor $\mu\neq0$
+
+Because the Bayes Factor directly compares how the data update the prior odds of each hypothesis, the choice of prior is crucial. A strong prior concentration at $\mu=0$ could make it harder for data to move the posterior density away from zero, influencing the resulting Bayes Factor. On the other hand, a diffuse prior might make it easier for data to shift your beliefs about $\mu$. Thus, specifying a reasonable and justifiable prior distribution is essential when using Bayes Factors for hypothesis testing.
+
++++
+
+Yet again, `arviz` has a function to help us here. We can use `plot_bf` to compute the Bayes Factor for the hypothesis that $\mu=0$ versus $\mu\neq0$.
+
+```{code-cell} ipython3
+az.plot_bf(idata, var_names="mu", ref_val=0);
+```
+
+We can see that the probability of $\mu=0$ has gone _down_ after observing the data. This is reflected in the value of $BF_{01}=0.54$ in that it is less than 1.
+
++++
+
+Readers are referred to {ref}`Bayes_factor` for a more detailed look at Bayes Factors.
+
++++
+
+## Summary
+
+**Posterior Probability Statements**  
+- *Idea:* Compute $P(\theta > \delta \mid \text{data})$ directly from the posterior.  
+- *Pros:* Simple, intuitive, no special tools needed.  
+- *Cons:* Requires choosing a threshold $\delta$.
+
+**Highest Density Intervals (HDIs)**  
+- *Idea:* Identify the range of values containing a fixed portion (e.g., 95%) of the posterior mass.  
+- *Pros:* Provides a clear summary of where the parameter lies; easy to interpret.  
+- *Cons:* By itself, doesn’t encode a decision rule; must still choose what HDI exclusion implies.
+
+**ROPE (Region of Practical Equivalence)**  
+- *Idea:* Define a small interval around the null (e.g., zero) representing negligible effect size and assess posterior mass within it.  
+- *Pros:* Focuses on practical rather than just statistical significance; flexible.  
+- *Cons:* Requires subjective definition of what counts as negligible.
+
+**ROPE + HDI Decision Rule**  
+- *Idea:* Combine ROPE with HDI to classify results as negligible, meaningful, or inconclusive.  
+- *Pros:* Offers a three-way decision with practical interpretation; balances interval uncertainty and practical thresholds.  
+- *Cons:* Still needs careful definition of ROPE bounds and HDI level.
+
+**Bayes Factors**  
+- *Idea:* Compare evidence for one model/hypothesis against another by ratio of marginal likelihoods.  
+- *Pros:* Provides a direct measure of relative evidence; can be viewed as updating prior odds.  
+- *Cons:* Sensitive to priors; can be computationally challenging; interpreting BF scales can be tricky.
+
++++
+
+## Authors
+* Authored by [Benjamin T. Vincent](https://github.com/drbenvincent) in December, 2024.
+* Updated by [Osvaldo Martin](https://aloctavodia.github.io/) in Dec, 2025.
+
++++
+
+## References
+:::{bibliography}
+:filter: docname in docnames
+:::
+
++++
+
+## Watermark
+
+```{code-cell} ipython3
+%load_ext watermark
+%watermark -n -u -v -iv -w -p pytensor,xarray
+```
+
+:::{include} ../page_footer.md
+:::
diff --git a/examples/references.bib b/examples/references.bib
index adf3db4a0..b1401ba1b 100644
--- a/examples/references.bib
+++ b/examples/references.bib
@@ -469,6 +469,16 @@ @article{koren2009matrixfactorization
   pages         = {30--37},
   doi           = {10.1109/MC.2009.263}
 }
+@article{kruschke2010believe,
+  title         = {What to believe: Bayesian methods for data analysis},
+  author        = {Kruschke, John K},
+  journal       = {Trends in cognitive sciences},
+  volume        = {14},
+  number        = {7},
+  pages         = {293--300},
+  year          = {2010},
+  publisher     = {Elsevier}
+}
 @article{kruschke2011bayesian,
   title         = {Bayesian assessment of null values via parameter estimation and model comparison},
   author        = {Kruschke, John K},
@@ -497,6 +507,16 @@ @book{kruschke2014doing
   year          = {2014},
   publisher     = {Academic Press}
 }
+@article{kruschke2018rejecting,
+  title         = {Rejecting or accepting parameter values in Bayesian estimation},
+  author        = {Kruschke, John K},
+  journal       = {Advances in methods and practices in psychological science},
+  volume        = {1},
+  number        = {2},
+  pages         = {270--280},
+  year          = {2018},
+  publisher     = {Sage Publications Sage CA: Los Angeles, CA}
+}
 @misc{kucukelbir2015automatic,
   title         = {Automatic Variational Inference in Stan},
   author        = {Alp Kucukelbir and Rajesh Ranganath and Andrew Gelman and David M. Blei},
@@ -651,6 +671,17 @@ @online{numpyroBirthdays
   title         = {Example: Hilbert space approximation for Gaussian processes},
   url           = {https://num.pyro.ai/en/stable/examples/hsgp.html}
 }
+@online{numpyroBirthdays,
+  title         = {Example: Hilbert space approximation for Gaussian processes},
+  url           = {https://num.pyro.ai/en/stable/examples/hsgp.html}
+}
+@online{orduz2024Birthdays,
+  title         = {Time Series Modeling with HSGP: Baby Births Example},
+  author        = {Orduz, Juan},
+  url           = {https://juanitorduz.github.io/birthdays/},
+  urldate       = {2024-01-02},
+  year          = {2024}
+}
 @online{orduz2024Birthdays,
   title         = {Time Series Modeling with HSGP: Baby Births Example},
   author        = {Orduz, Juan},
@@ -707,6 +738,21 @@ @article{penrose1985
   year          = {1985},
   pages         = {189}
 }
+@article{penrose1985,
+  title         = {{GENERALIZED} {BODY} {COMPOSITION} {PREDICTION} {EQUATION} {FOR} {MEN} {USING} {SIMPLE} {MEASUREMENT} {TECHNIQUES}},
+  volume        = {17},
+  issn          = {0195-9131},
+  url           = {https://journals.lww.com/acsm-msse/citation/1985/04000/generalized_body_composition_prediction_equation.37.aspx},
+  abstract      = {An abstract is unavailable. This article is available as a PDF only.},
+  language      = {en-US},
+  number        = {2},
+  urldate       = {2023-10-17},
+  journal       = {Medicine \& Science in Sports \& Exercise},
+  author        = {Penrose, K. W. and Nelson, A. G. and Fisher, A. G.},
+  month         = apr,
+  year          = {1985},
+  pages         = {189}
+}
 @misc{quiroga2022bart,
   title         = {Bayesian additive regression trees for probabilistic programming},
   author        = {Quiroga, Miriana and Garay, Pablo G and Alonso, Juan M. and Loyola, Juan Martin and Martin, Osvaldo A},
@@ -746,6 +792,17 @@ @article{riutort2022PracticalHilbertSpaceApproximate
   volume        = {33},
   year          = {2022}
 }
+@article{riutort2022PracticalHilbertSpaceApproximate,
+  author        = {Riutort-Mayol, Gabriel and B{\"u}rkner, Paul-Christian and Andersen, Michael R. and Solin, Arno and Vehtari, Aki},
+  doi           = {10.1007/s11222-022-10167-2},
+  journal       = {Statistics and Computing},
+  number        = {1},
+  pages         = {17},
+  title         = {Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming},
+  url           = {https://doi.org/10.1007/s11222-022-10167-2},
+  volume        = {33},
+  year          = {2022}
+}
 @book{roback2021beyond,
   title         = {Beyond multiple linear regression: Applied generalized linear models and multilevel models in R},
   author        = {Roback, P., and Legler, J.},
@@ -791,6 +848,17 @@ @article{solin2020Hilbert
   volume        = {30},
   year          = {2020}
 }
+@article{solin2020Hilbert,
+  author        = {Solin, Arno and S{\"a}rkk{\"a}, Simo},
+  doi           = {10.1007/s11222-019-09886-w},
+  journal       = {Statistics and Computing},
+  number        = {2},
+  pages         = {419--446},
+  title         = {Hilbert space methods for reduced-rank Gaussian process regression},
+  url           = {https://doi.org/10.1007/s11222-019-09886-w},
+  volume        = {30},
+  year          = {2020}
+}
 @article{spiller2013spotlights,
   title         = {Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression},
   author        = {Spiller, Stephen A and Fitzsimons, Gavan J and Lynch Jr, John G and McClelland, Gary H},
@@ -889,6 +957,13 @@ @online{vehtari2022Birthdays
   urldate       = {2022-03-07},
   year          = {2022}
 }
+@online{vehtari2022Birthdays,
+  title         = {Bayesian workflow book - Birthdays},
+  author        = {Vehtari, Aki},
+  url           = {https://avehtari.github.io/casestudies/Birthdays/birthdays.html},
+  urldate       = {2022-03-07},
+  year          = {2022}
+}
 @online{vieira2022BVAR,
   title         = {Bayesian Vector Autoregression in PyMC},
   author        = {Vieira, Ricardo},
@@ -950,6 +1025,19 @@ @article{Yao_2022
   doi           = {10.1214/21-BA1287},
   url           = {https://doi.org/10.1214/21-BA1287}
 }
+@article{Yao_2022,
+  author        = {Yuling Yao and Gregor Pir\v{s} and Aki Vehtari and Andrew Gelman},
+  title         = {{Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful}},
+  volume        = {17},
+  journal       = {Bayesian Analysis},
+  number        = {4},
+  publisher     = {International Society for Bayesian Analysis},
+  pages         = {1043 -- 1071},
+  keywords      = {Bayesian hierarchical modeling, conditional prediction, covariate shift, model averaging, prior construction, stacking},
+  year          = {2022},
+  doi           = {10.1214/21-BA1287},
+  url           = {https://doi.org/10.1214/21-BA1287}
+}
 @article{yuan2009bayesian,
   title         = {Bayesian mediation analysis.},
   author        = {Yuan, Ying and MacKinnon, David P},