{
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"(interventional_distribution)=\n",
"# Interventional distributions and graph mutation with the do-operator\n",
"\n",
":::{post} July, 2023\n",
":tags: causal inference, do-operator, graph mutation\n",
":category: beginner, explanation\n",
":author: Benjamin T. Vincent\n",
":::"
]
},
{
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"source": [
"[PyMC](https://github.com/pymc-devs/pymc) is a pivotal component of the open source Bayesian statistics ecosystem. It helps solve real problems across a wide range of industries and academic research areas every day. And it has gained this level of utility by being accessible, powerful, and practically useful at solving _Bayesian statistical inference_ problems.\n",
"\n",
"But times are changing. There's a [causal revolution](https://en.wikipedia.org/wiki/The_Book_of_Why) underway and there's a growing recognition that to answer some of the most interesting and challenging questions requires us to integrate causal reasoning into our efforts.\n",
"\n",
"PyMC is rising to this challenge! While there are many novel causal concepts to learn, Bayesians will find that they are not starting from scratch. They are already pretty familiar with [Directed Acyclic Graphs (DAGs)](https://en.wikipedia.org/wiki/Directed_acyclic_graph) and so this gives a good jumping off point to gain relatively easy access into the world of **Bayesian causal inference**.\n",
"\n",
"This notebook is going to cover one of the foundational components of causal reasoning which has newly arrived to the PyMC ecosystem, the $\\operatorname{do}$ operator. Indeed, depending on whose definitions you want to use, adding the $\\operatorname{do}$ operator into the kind of Bayesian DAGs that PyMC users build every day gets us to the status of building [causal Bayesian networks](https://en.wikipedia.org/wiki/Causal_graph). \n",
"\n",
"If that sounds cool, let's dive in..."
]
},
{
"cell_type": "markdown",
"id": "ed816fbf-320c-44f7-a711-cb4750d86e24",
"metadata": {},
"source": [
"## Set up the notebook"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "efb41c68-2dbc-4f70-b333-eef4c743994a",
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"source": [
"import arviz as az\n",
"import graphviz as gr\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pymc as pm\n",
"import seaborn as sns\n",
"\n",
"from packaging import version"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "70a77819-b114-49ca-960e-a8bb504d6af9",
"metadata": {
"editable": true,
"execution": {
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"shell.execute_reply": "2026-03-05T14:35:12.481423Z"
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"source": [
"# import the new functionality\n",
"from pymc.model.transform.conditioning import do"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "5403941e-6a30-4f93-8533-e219805b2c3c",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:12.482502Z",
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"source": [
"RANDOM_SEED = 123\n",
"rng = np.random.default_rng(RANDOM_SEED)\n",
"az.style.use(\"arviz-darkgrid\")\n",
"%config InlineBackend.figure_format = 'retina'"
]
},
{
"cell_type": "markdown",
"id": "782d6135-2e59-4462-8b9c-9832a58751ef",
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"slide_type": ""
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"source": [
"## What can we do with Bayesian inference?\n",
"\n",
"Whether we are building _descriptive_ models or those that try to model the underlying processes, Bayesians are very used to building white box (i.e. the opposite of [black box](https://en.wikipedia.org/wiki/Black_box)), interpretable, models of [data generating processes](https://en.wikipedia.org/wiki/Data_generating_process). While we construct PyMC models using code, behind the scenes this is represented as a DAG, which we can visualise with graphviz. Let's see how this works using the example in the docs:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b770f730-31a2-42c2-b269-5a0f2091538c",
"metadata": {
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{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
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"metadata": {},
"output_type": "execute_result"
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"source": [
"J = 8\n",
"y = np.array([28, 8, -3, 7, -1, 1, 18, 12])\n",
"sigma = np.array([15, 10, 16, 11, 9, 11, 10, 18])\n",
"\n",
"with pm.Model() as schools:\n",
" eta = pm.Normal(\"eta\", 0, 1, shape=J)\n",
" mu = pm.Normal(\"mu\", 0, sigma=1e6)\n",
" tau = pm.HalfCauchy(\"tau\", 25)\n",
" theta = mu + tau * eta\n",
" obs = pm.Normal(\"obs\", theta, sigma=sigma, observed=y)\n",
"\n",
"pm.model_to_graphviz(schools)"
]
},
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"id": "f618f053-266b-4006-a521-f892cb8519e1",
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"Regardless of the particular model or models we are working with, we can do a whole range of _statistical_ procedures:\n",
"\n",
"* We could examine the [prior predictive distribution](https://en.wikipedia.org/wiki/Posterior_predictive_distribution#Prior_vs._posterior_predictive_distribution) to see what we'd expect to see in the given DAG based on our stated prior beliefs with `pymc.sample_prior_predictive`. An example use case would be when we want to understand our predictions of how inflation may evolve into the future based on the structure of our model (e.g. the national and international economy) and our prior beliefs over latent variables.\n",
"* We could conduct Bayesian inference by sampling from the posterior distribution with `pymc.sample`. This would update our beliefs to assign credibility to different values of latent variables given the data that we have observed. For example, maybe we get another inflation data point added to our dataset and we want to update our beliefs about the latent variables in the model of the economy.\n",
"* We could examine the [posterior predictive distribution](https://en.wikipedia.org/wiki/Posterior_predictive_distribution) using `pymc.sample_posterior_predictive`. This is closely related to the prior predictive distribution, but in our running example it would allow us to create a revised set of predictions about future inflation rates after we've observed another data point.\n",
"* If we wanted, we could get fancy with {ref}`GLM-model-selection` to compare different models (data generating processes). This could be particularly useful because we arguably don't have complete faith that we know the \"true\" model of the economy, even at a coarse level of abstraction. So we could build multiple models (DAGs) and evaluate the relative credibility that each model generated the observed data.\n",
"* If we have a number of candidate data generating processes, we could incorporate our uncertainty in the data generating process through {ref}`model_averaging`.\n",
"\n",
"If we've mastered all of these steps, we can rightfully feel pretty happy with ourselves. We can accomplish a lot with these statistical and predictive procedures."
]
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"hide-input"
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"source": [
"## Why causality is important\n",
"\n",
"But now it's time to get smacked in our smug Bayesian face. As others have argued (e.g. {cite:t}`pearl2018why,pearl2000causality`), it is entirely possible to build a pretty good _predictive_ model, but one which can catestrophically fail the moment you (or anyone else) intervenes in the system. Such interventions can totally destroy predictive modelling approaches and wake you up real fast to the necessity of adding causal reasoning into our skillset. \n",
"\n",
"In our running example, this could correspond to when a central bank switches from making predictions about inflation to now _acting_ and _intervening_ in the system by, for example, changing interest rates. All of a sudden you might be faced with a situation where the economy does not respond to your intervention as you predicted."
]
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"id": "83b8106f-c9e1-4277-ba38-f13b03a33ef6",
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"source": [
"Let's consider a seemingly trivial example with 3 nodes to see how we can get fooled. The image below shows two different causal DAGs. On the left we are interested in how $X$ causally affects $Y$, both directly and indirectly through a mediating variable $M$. If we take a purely statistical approach (e.g. {ref}`mediation_analysis`) we might find that the data is very plausibly generated by this DAG. This might give us the confidence to conduct an intervention on $M$ with the aim of influencing our target outcome, $Y$. But when we do this intervention in the real world and change $M$, we actually find absolutely no change in $Y$. What is going on here?"
]
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"\n",
"\n",
"\n",
"\n",
"\n"
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"source": [
"g = gr.Digraph()\n",
"# Wrong data generating process\n",
"g.node(name=\"x2\", label=\"X\")\n",
"g.node(name=\"y2\", label=\"Y\")\n",
"g.node(name=\"m2\", label=\"M\")\n",
"g.edge(tail_name=\"x2\", head_name=\"y2\")\n",
"g.edge(tail_name=\"x2\", head_name=\"m2\")\n",
"g.edge(tail_name=\"m2\", head_name=\"y2\")\n",
"# Actual causal DAG\n",
"g.node(name=\"x\", label=\"X\")\n",
"g.node(name=\"y\", label=\"Y\")\n",
"g.node(name=\"m\", label=\"M\")\n",
"g.node(name=\"u\", label=\"U\", color=\"lightgrey\", style=\"filled\")\n",
"g.edge(tail_name=\"x\", head_name=\"y\")\n",
"g.edge(tail_name=\"x\", head_name=\"m\")\n",
"g.edge(tail_name=\"m\", head_name=\"y\", style=\"dashed\", dir=\"none\")\n",
"g.edge(tail_name=\"u\", head_name=\"m\", color=\"lightgrey\")\n",
"g.edge(tail_name=\"u\", head_name=\"y\", color=\"lightgrey\")\n",
"# Render\n",
"g"
]
},
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"Little did we know, but the _actual_ data generating process is captured by the DAG on the right. This shows that $X$ does causally influence both $M$ and $Y$, however $M$ does not in fact causally affect $Y$. Instead, there is an unobserved variable $U$ which causally influences both $M$ and $Y$. This unobserved confounder creates a backdoor path in which _statistical_ association may flow between the path $X \\rightarrow M \\rightarrow U \\rightarrow Y$. All this causes a statistical association between $M$ and $Y$ which our purely statistical approach mislead us into thinking that $M$ did causally influence $Y$ when it did not. No wonder our intervention failed to have any effects.\n",
"\n",
"Our mistake was to interpret a statistical model causally."
]
},
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"cell_type": "markdown",
"id": "24792fb8-3e40-41b5-a26a-4a2d4da052ed",
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"source": [
"## Statistical versus interventional distributions\n",
"So far this has been quite high-level, but let's try to pin this down a little. In our example, if we were to take a purely statistical approach we could ask \"What happened when interest rates were 2%?\" This is a statistical question because we are basically looking back in our dataset and filtering (or conditioning) upon time points where interest rates were at (or very close to) 2%. So let's flag up - **conditional distributions are purely statistical quantities**.\n",
"\n",
"Though the real question we might want an answer to is \"What would have happened in the past if we had set the interest rates to 2%?\" or \"What will happen going forward if we set the interest rates to 2%?\" Despite the subtle changing of wording, this now radically changes what we have to do in order to answer the question. So a key point here is **interventional distributions require causal (not statistical) approaches**.\n",
"\n",
"Interventional distributions allow us to ask _interventional_ what-if questions. For example, with a causal DAG we could ask questions of the form, \"What do I think will happen if I set X to a particular value?\" or \"What would happen to Y if we were to intervene and change X?\" See how these types of questions have a very different flavour to purely statistical kinds of questions — those would be more like \"Given what I've seen, what do I think will happen?\" See how statistical questions have a more passive, observational focus.\n",
"\n",
"From hereon, the main point of this notebook will be to provide some understanding and intuition about the differences between conditional and interventional distributions, and how to estimate interventional distributions with PyMC. As we said above, we can use the $\\operatorname{do}$ operator to estimate interventional distributions. So let's dive in and see how that works."
]
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"## Interventions and the $\\operatorname{do}$ operator\n",
"\n",
"We'll consider an example from {cite:t}`pearl2000causality` where we examine a DAG which is a putative causal explanation of how various factors influence each other to result in grass becoming slippery. The left shows our causal DAG, and the right shows how the DAG is changed if we consider an intervention (hypothetical or actual) where we turn the sprinkler on. The $\\operatorname{do}$ operator implements an intervention that we want to make. It consists of 2 simple steps:\n",
"\n",
"1. It takes a given node in a graph and sets that node at the desired value.\n",
"2. It removes any causal influence on this node by other nodes. It does this by removing all incoming edges into that node.\n",
"\n",
"\n",
"\n",
"On the left of the figure we have a causal DAG describing the causal relationships between season, whether a sprinkler has been on, whether it has rained, if the grass is wet, and if the grass is slippery. \n",
"\n",
"The joint distribution can be factorised as: \n",
"\n",
"$$\n",
"P(x_1, x_2, x_3, x_4, x_5) = P(x_1) P(x_3|x_1) P(x_2|x_1) P(x_4|x_3, x_2) P(x_5|x_4)\n",
"$$\n",
"\n",
"```{card} Factorizing joint distributions\n",
"For a DAG, a complex joint distribution can be broken down into the product of conditional distributions:\n",
"\n",
"$$\n",
"P(x_1, x_2, \\ldots, x_n) = \\prod_i P(x_i|pa_i)\n",
"$$\n",
"\n",
"where $pa_i$ are the parents of node $x_i$, and $i = \\{ 1, \\ldots, n \\}$.\n",
"```\n",
"\n",
"On the right of the figure we have applied the $\\operatorname{do}$ operator to examine what will happen if we set the sprinkler to be on. You can see that we have now set the value of that node, $x_3=1$ and we have removed the incoming edge (influence) of season, meaning that once we turn on the sprinkler manually, it's not influenced by the season anymore.\n",
"\n",
"In order to describe this new interventional distribution we need truncated factorization:\n",
"\n",
"```{card} Truncated factorization\n",
"{cite:t}`pearl2000causality` describes truncated factorization as follows. If we have a probability distribution $P(v)$ on a set of $V$ variables, then $P_x(v)$ is the interventional distribution that results from $\\operatorname{do}(X=x)$ that sets a subset of $X$ variables to constants $x$. Then we can describe the interventional distribution with truncated factorization as:\n",
"\n",
"$$\n",
"P_x(v) = \\prod_{ \\{ i | V_i \\notin X \\} } P(v_i|pa_i)\n",
"$$\n",
"\n",
"This is actually quite simple. It can be thought of as exactly the same as the regular factorization of the joint distribution, but we are only including terms which do _not_ influence any intervened upon variable.\n",
"\n",
"Interested readers are referred to section 1.3 of {cite:t}`pearl2000causality` on Causal Bayesian Networks.\n",
"```\n",
"\n",
"Applying that to the spinkler example, we can define the _interventional distribution_ as:\n",
"\n",
"$$\n",
"P(x_1, x_2, \\operatorname{do}(x_3=1), x_4, x_5) = P(x_1) P(x_2|x_1) P(x_4|x_3=1, x_2) P(x_5|x_4)\n",
"$$\n",
"\n",
"There are two important changes here:\n",
"1. Note that $x_3$ was previously a random variable, but this has now been 'locked' at a particular value, $x_3=1$, because of our intervention.\n",
"2. Note the absence of the $P(x_3|x_1)$ term, because $x_1$ no longer has any causal influence over $x_3$.\n",
"\n",
"So in summary, this is pretty cool. We can use the $\\operatorname{do}$ operator to make in intervention in our model of the world. We can then observe the consequences of this intervention and make much better predictions of what will happen when we are active and intervene (actually or hypothetically) in the world. The accuracy is of course subject to how well our causal DAG reflects the real processes in the world.\n",
"\n",
"For those wanting further background information on the $\\operatorname{do}$ operator, explained from a different angle, readers should check out the richly diagrammed and well-explained blog post [Causal Effects via the Do-operator](https://towardsdatascience.com/causal-effects-via-the-do-operator-5415aefc834a) {cite:p}`Talebi2022dooperator`, the popular science book by {cite:t}`pearl2018why`, or the textbook by {cite:t}`molak2023ciadip`."
]
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"## Three different causal DAGs\n",
"\n",
":::{note}\n",
"This section takes heavy inspiration from the post [Causal Inference 2: Illustrating Interventions via a Toy Example](https://www.inference.vc/causal-inference-2-illustrating-interventions-in-a-toy-example/) {cite:p}`Huszár2019causal2`. Imitation is the sincerest form of flattery.\n",
":::\n",
"\n",
"If we think about how 2 variables, $x$ and $y$, are related we can come up with many different causal DAGs. Below we consider just 3 possibilities, which we'll label DAG 1, 2, and 3.\n",
"\n",
"1. $x$ causally influences $y$\n",
"2. $y$ causally influences $x$\n",
"3. $z$ causally influences both $x$ and $y$\n",
"\n",
"We can draw these more graphically below:"
]
},
{
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"\n"
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"source": [
"g = gr.Digraph()\n",
"\n",
"# DAG 1\n",
"g.node(name=\"x1\", label=\"x\")\n",
"g.node(name=\"y1\", label=\"y\")\n",
"g.edge(tail_name=\"x1\", head_name=\"y1\")\n",
"\n",
"# DAG 2\n",
"g.node(name=\"y2\", label=\"y\")\n",
"g.node(name=\"x2\", label=\"x\")\n",
"g.edge(tail_name=\"y2\", head_name=\"x2\")\n",
"\n",
"# DAG 3\n",
"g.node(name=\"z\", label=\"z\")\n",
"g.node(name=\"x\", label=\"x\")\n",
"g.node(name=\"y\", label=\"y\")\n",
"g.edge(tail_name=\"z\", head_name=\"x\")\n",
"g.edge(tail_name=\"z\", head_name=\"y\")\n",
"\n",
"g"
]
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{
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"source": [
"We can also imagine implementing such causal DAGs in Python code to generate `N` random numbers. Each of these will give rise to specific joint distributions, $P(x, y)$, and in fact, because Ferenc Huszár was clever in his blog post, we'll see later that these will all give rise to the same joint distributions.\n",
"\n",
"**DAG 1**\n",
"\n",
"```{code-block} python\n",
"x = rng.normal(loc=0, scale=1, size=N)\n",
"y = x + 1 + np.sqrt(3) * rng.normal(size=N)\n",
"```\n",
"\n",
"**DAG 2**\n",
"\n",
"```{code-block} python\n",
"y = 1 + 2 * rng.normal(size=N)\n",
"x = (y - 1) / 4 + np.sqrt(3) * rng.normal(size=N) / 2\n",
"```\n",
"\n",
"**DAG 3**\n",
"\n",
"```{code-block} python\n",
"z = rng.normal(size=N)\n",
"y = z + 1 + np.sqrt(3) * rng.normal(size=N)\n",
"x = z\n",
"```"
]
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"source": [
":::{note}\n",
"These code snippets are important because they define identical joint distributions $P(x,y)$ but they have different DAG structures. Therefore they may respond differently when it comes to making an intervention with the $\\operatorname{do}$ operator. It is worth referring back to these code snippets to make sure you understand how they relate to the DAG structures above and to think through how making interventions on variables will affect the values of each of the variables $x, y, z$ if at all.\n",
":::"
]
},
{
"cell_type": "markdown",
"id": "453edf32-48d2-4d7f-96fb-6fb61851de9e",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"However, we are going to implement these using Bayesian causal DAGs with PyMC. Let's see how we can do this, then generate samples from them using `pm.sample_prior_predictive`. As we go with each DAG, we'll extract the samples for plotting later, and also plot the graphviz representation of the PyMC models. You'll see that while these are a fraction more visually complex, they do actually match up with the causal DAGs we've specified above."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "cc4469dd-e40b-4f59-b6c5-3077043e9878",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:13.953105Z",
"iopub.status.busy": "2026-03-05T14:35:13.953030Z",
"iopub.status.idle": "2026-03-05T14:35:13.954915Z",
"shell.execute_reply": "2026-03-05T14:35:13.954502Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"# number of samples to generate\n",
"N = 1_000_000"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "380c7726-1168-4a47-8392-f7e5c3475f3f",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:13.955852Z",
"iopub.status.busy": "2026-03-05T14:35:13.955774Z",
"iopub.status.idle": "2026-03-05T14:35:20.842864Z",
"shell.execute_reply": "2026-03-05T14:35:20.842572Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling: [temp, x]\n"
]
},
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with pm.Model() as model1:\n",
" x = pm.Normal(\"x\")\n",
" temp = pm.Normal(\"temp\")\n",
" y = pm.Deterministic(\"y\", x + 1 + np.sqrt(3) * temp)\n",
" idata1 = pm.sample_prior_predictive(samples=N, random_seed=rng)\n",
"\n",
"ds1 = az.extract(idata1.prior, var_names=[\"x\", \"y\"])\n",
"\n",
"pm.model_to_graphviz(model1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "09e899ac-77b5-4efa-81b9-0c31a52843d9",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:20.844048Z",
"iopub.status.busy": "2026-03-05T14:35:20.843963Z",
"iopub.status.idle": "2026-03-05T14:35:26.199728Z",
"shell.execute_reply": "2026-03-05T14:35:26.199407Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling: [temp, y]\n"
]
},
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with pm.Model() as model2:\n",
" y = pm.Normal(\"y\", mu=1, sigma=2)\n",
" temp = pm.Normal(\"temp\")\n",
" x = pm.Deterministic(\"x\", (y - 1) / 4 + np.sqrt(3) * temp / 2)\n",
" idata2 = pm.sample_prior_predictive(samples=N, random_seed=rng)\n",
"\n",
"ds2 = az.extract(idata2.prior, var_names=[\"x\", \"y\"])\n",
"\n",
"pm.model_to_graphviz(model2)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "695ac444-5db0-4214-8afe-720ae3b4260e",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:26.201053Z",
"iopub.status.busy": "2026-03-05T14:35:26.200938Z",
"iopub.status.idle": "2026-03-05T14:35:31.764746Z",
"shell.execute_reply": "2026-03-05T14:35:31.764395Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling: [temp, z]\n"
]
},
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with pm.Model() as model3:\n",
" z = pm.Normal(\"z\")\n",
" temp = pm.Normal(\"temp\")\n",
" y = pm.Deterministic(\"y\", z + 1 + np.sqrt(3) * temp)\n",
" x = pm.Deterministic(\"x\", z)\n",
" idata3 = pm.sample_prior_predictive(samples=N)\n",
"\n",
"ds3 = az.extract(idata3.prior, var_names=[\"x\", \"y\"])\n",
"\n",
"pm.model_to_graphviz(model3)"
]
},
{
"cell_type": "markdown",
"id": "07b66542-dd10-43b1-9dfb-5b438f756736",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"### Joint distributions, $P(x,y)$\n",
"\n",
"First, let's take a look at the joint distributions for each of the DAGs to convince ourselves that these are actually the same."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "49d3a21d-9ec3-4fd8-88c9-093aeae336ab",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:31.766455Z",
"iopub.status.busy": "2026-03-05T14:35:31.766220Z",
"iopub.status.idle": "2026-03-05T14:35:32.955173Z",
"shell.execute_reply": "2026-03-05T14:35:32.954665Z"
},
"slideshow": {
"slide_type": ""
},
"tags": [
"hide-input"
]
},
"outputs": [
{
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"text/plain": [
""
]
},
"metadata": {
"image/png": {
"height": 708,
"width": 1211
}
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1, 3, figsize=(12, 8), sharex=True, sharey=True)\n",
"\n",
"for i, ds in enumerate([ds1, ds2, ds3]):\n",
" az.plot_kde(\n",
" ds[\"x\"],\n",
" ds[\"y\"],\n",
" hdi_probs=[0.25, 0.5, 0.75, 0.9, 0.95],\n",
" contour_kwargs={\"colors\": None},\n",
" contourf_kwargs={\"alpha\": 0.5},\n",
" ax=ax[i],\n",
" )\n",
" ax[i].set(\n",
" title=f\"$P(x, y)$, DAG {i + 1}\",\n",
" xlim=[-4, 4],\n",
" xticks=np.arange(-4, 4 + 1, step=2),\n",
" ylim=[-6, 8],\n",
" yticks=np.arange(-6, 8 + 1, step=2),\n",
" aspect=\"equal\",\n",
" )\n",
" ax[i].axvline(x=2, ls=\"--\", c=\"k\")"
]
},
{
"cell_type": "markdown",
"id": "6625a68d-e19e-4490-b486-29e3bff42716",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"At this point we have met 3 different data generating processes (and their corresponding DAGs). We've drawn many MCMC samples from the prior distribution and visualised this joint distribution $P(x,y)$ for each of the models. We are now in position to recap the conditional distributions (e.g. $P(y|x=2$, see the next section) and how they compare to the interventional distribution $P(y|\\operatorname{do}(x=2))$ in the section following that."
]
},
{
"cell_type": "markdown",
"id": "b44eef67-7ad3-46cc-b18c-e589b9fd271b",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"### Conditional distributions, $P(y|x=2)$"
]
},
{
"cell_type": "markdown",
"id": "2d30eb22-2560-495a-8af2-f9c9fe04848a",
"metadata": {},
"source": [
"In the MCMC spirit of representing probability distributions by samples, let's now calculate the conditional distributions. If we picked all the values where $x$ was _exactly_ 2, then we might not end up with any samples at all, so what we'll do is to take a very narrow slice of samples around 2. So these will be approximations - as the number of samples increases and the width of the slice decreases, then our approximation would become more accurate."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4340f80a-95f5-486d-b958-88ec130b6538",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:32.957452Z",
"iopub.status.busy": "2026-03-05T14:35:32.957369Z",
"iopub.status.idle": "2026-03-05T14:35:32.970123Z",
"shell.execute_reply": "2026-03-05T14:35:32.969787Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/benjamv/miniforge3/envs/pymc-examples/lib/python3.12/site-packages/pandas/core/computation/scope.py:269: FutureWarning: Deleting a single level of a MultiIndex is deprecated. Previously, this deleted all levels of a MultiIndex. Please also drop the following variables: {'sample'} to avoid an error in the future.\n",
" mapping[new_key] = new_value\n"
]
}
],
"source": [
"# Extract samples from P(y|x≈2)\n",
"conditional1 = ds1.query(sample=\"1.99 < x < 2.01\")[\"y\"]\n",
"conditional2 = ds2.query(sample=\"1.99 < x < 2.01\")[\"y\"]\n",
"conditional3 = ds3.query(sample=\"1.99 < x < 2.01\")[\"y\"]"
]
},
{
"cell_type": "markdown",
"id": "99ccc753-e3ef-4834-b02f-4a8d82749fe5",
"metadata": {},
"source": [
"So now we've got our MCMC estimates of $P(y|x=2)$ for all of the DAGs. But you're going to have to wait just a moment before we plot them. Let's move on to calculate $P(y|\\operatorname{do}(x=2))$ and then plot them in one go so we can compare."
]
},
{
"cell_type": "markdown",
"id": "d0896e42-ee27-4c37-a065-7c78d6f6c0e2",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"### Interventional distributions, $P(y|\\operatorname{do}(x=2))$\n",
"\n",
"In turn for each of the 3 DAGs, let's use the $\\operatorname{do}$ operator, setting $x=2$. This will give us a new DAG and we'll plot the graphviz representation and then take samples to represent the interventional distribution."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "87ef7495-d1db-4734-9685-e0963ed346b3",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:32.971598Z",
"iopub.status.busy": "2026-03-05T14:35:32.971523Z",
"iopub.status.idle": "2026-03-05T14:35:33.069297Z",
"shell.execute_reply": "2026-03-05T14:35:33.068982Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model1_do = do(model1, {\"x\": 2})\n",
"pm.model_to_graphviz(model1_do)"
]
},
{
"cell_type": "markdown",
"id": "95844edc-2e47-47a1-986a-c6e0b30386c0",
"metadata": {},
"source": [
":::{important}\n",
"Let's just take a moment to reflect on what we've done here! We took a model (`model1`) and then used the $\\operatorname{do}$ function and specified an intervention we wanted to make. In this case it was to set $x=2$. We then got back a new model where the original DAG has been mutated in the way that we set out above. Namely, we defined $x=2$ _and_ removed edges from incoming nodes to $x$. In this first DAG, there were no incoming edges, but this is the case in DAG2 and DAG 3 below.\n",
":::"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "e7a60ccb-8568-42b2-9b59-75c1f812aecf",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-05T14:35:33.070501Z",
"iopub.status.busy": "2026-03-05T14:35:33.070422Z",
"iopub.status.idle": "2026-03-05T14:35:33.166533Z",
"shell.execute_reply": "2026-03-05T14:35:33.166218Z"
}
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model2_do = do(model2, {\"x\": 2})\n",
"pm.model_to_graphviz(model2_do)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "ae53d8bf-a706-46e9-bd1c-2d43a5bcd222",
"metadata": {
"execution": {
"iopub.execute_input": "2026-03-05T14:35:33.167771Z",
"iopub.status.busy": "2026-03-05T14:35:33.167669Z",
"iopub.status.idle": "2026-03-05T14:35:33.264920Z",
"shell.execute_reply": "2026-03-05T14:35:33.264608Z"
}
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model3_do = do(model3, {\"x\": 2})\n",
"pm.model_to_graphviz(model3_do)"
]
},
{
"cell_type": "markdown",
"id": "688de710-654d-4905-a328-81941aaa1fe6",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"So we can see that in DAG 1, the $x$ variable still has causal influence on $y$. However, in DAGs 2 and 3, $y$ is no longer causally influenced by $x$. So in DAGs 2 and 3, our intervention $\\operatorname{do}(x=2)$ has no influence on $y$."
]
},
{
"cell_type": "markdown",
"id": "01ba8784-cd8b-45e8-b9ec-1fd6d56b010a",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"Next we'll sample from each of these interventional distributions. Note that we are using the mutilated models, `model1_do`, `model2_do`, and `model3_do`. "
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "e54e1a6e-f954-4a17-b548-a8db72ab0013",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:33.266125Z",
"iopub.status.busy": "2026-03-05T14:35:33.266022Z",
"iopub.status.idle": "2026-03-05T14:35:44.984094Z",
"shell.execute_reply": "2026-03-05T14:35:44.983736Z"
},
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling: [temp]\n",
"Sampling: [temp, y]\n",
"Sampling: [temp, z]\n"
]
}
],
"source": [
"with model1_do:\n",
" idata1_do = pm.sample_prior_predictive(samples=N, random_seed=rng)\n",
"\n",
"with model2_do:\n",
" idata2_do = pm.sample_prior_predictive(samples=N, random_seed=rng)\n",
"\n",
"with model3_do:\n",
" idata3_do = pm.sample_prior_predictive(samples=N, random_seed=rng)"
]
},
{
"cell_type": "markdown",
"id": "d9d4fe62-b694-4a90-9e7f-21344f69fcf6",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"So let's compare the conditional and interventional distributions for all 3 DAGs."
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "72a72a7f-cd77-45eb-a000-9d78bd01498e",
"metadata": {
"editable": true,
"execution": {
"iopub.execute_input": "2026-03-05T14:35:44.985442Z",
"iopub.status.busy": "2026-03-05T14:35:44.985363Z",
"iopub.status.idle": "2026-03-05T14:35:45.190344Z",
"shell.execute_reply": "2026-03-05T14:35:45.190078Z"
},
"slideshow": {
"slide_type": ""
},
"tags": [
"hide-input"
]
},
"outputs": [
{
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"text/plain": [
""
]
},
"metadata": {
"image/png": {
"height": 411,
"width": 1011
}
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1, 2, figsize=(10, 4), sharex=True, sharey=True)\n",
"\n",
"az.plot_density(\n",
" [conditional1, conditional2, conditional3],\n",
" data_labels=[\"DAG 1\", \"DAG 2\", \"DAG 3\"],\n",
" combine_dims={\"sample\"},\n",
" ax=ax[0],\n",
" hdi_prob=1.0,\n",
")\n",
"ax[0].set(xlabel=\"y\", title=\"Conditional distributions\\n$P(y|x=2)$\")\n",
"\n",
"az.plot_density(\n",
" [idata1_do, idata2_do, idata3_do],\n",
" data_labels=[\"DAG 1\", \"DAG 2\", \"DAG 3\"],\n",
" group=\"prior\",\n",
" var_names=\"y\",\n",
" ax=ax[1],\n",
" hdi_prob=1.0,\n",
")\n",
"ax[1].set(xlabel=\"y\", title=\"Interventional distributions\\n$P(y|\\\\operatorname{do}(x=2))$\");"
]
},
{
"cell_type": "markdown",
"id": "f546f9e2-0f9b-4eaa-93e3-b5887b757a37",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"We can see, as expected, that the conditional distributions are the same for all 3 DAGs. Note that these distributions are not posterior distributions of estimated parameters - we have not conducted any parameter estimation here.\n",
"\n",
"The story is different for the interventional distributions however. Here, DAG 1 differs because it is the only one where our $\\operatorname{do}(x=2)$ intervention causally effects $y$. If we think about it further, because the $\\operatorname{do}$ has not affected the structure _for this DAG_, in this example $P(y|\\operatorname{do}(x=2)) = P(y|x=2)$. However this is _not_ something to be generalised, it is just something specific to this particular simple DAG. \n",
"\n",
"The intervention severed any causal influence of $x$ on $y$ in DAGs 2 and 3. Let's just recap what the mutated DAGs look like; the mutated DAG 2 is shown below, and we can see that $P(y|\\operatorname{do}(x=2)) = P(y)$."
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "1b8c87ad-c3c3-4de5-8b9f-9a47f34f536f",
"metadata": {
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"execution": {
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"tags": [
"hide-input"
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},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g = gr.Digraph()\n",
"g.node(name=\"y2\", label=\"y\")\n",
"g.node(name=\"x2\", label=\"x\")\n",
"g"
]
},
{
"cell_type": "markdown",
"id": "9c4122ee-9709-4c9c-b0eb-a4c20e1b7f3a",
"metadata": {
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"source": [
"The mutated DAG 3 is shown below. We can see that for this DAG, $P(y|\\operatorname{do}(x=2)) = P(y|z)$. "
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "115b2f76-383d-4aed-8249-53bb4f57b213",
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"editable": true,
"execution": {
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"shell.execute_reply": "2026-03-05T14:35:45.404395Z"
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"slideshow": {
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},
"tags": [
"hide-input"
]
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g = gr.Digraph()\n",
"g.node(name=\"z\", label=\"z\")\n",
"g.node(name=\"x\", label=\"x\")\n",
"g.node(name=\"y\", label=\"y\")\n",
"g.edge(tail_name=\"z\", head_name=\"y\")\n",
"g"
]
},
{
"cell_type": "markdown",
"id": "dec5c8d6-e562-47ca-a263-2e8269704d04",
"metadata": {
"editable": true,
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"source": [
"$P(y|\\operatorname{do}(x=2))$ for DAG 2 and DAG 3 will actually be the same in this contrived example because the details were arranged to arrive at the same marginal distribution $P(y)$ for all DAGs."
]
},
{
"cell_type": "markdown",
"id": "e546b0ab-dd66-4c20-b814-c8cd1bc6c710",
"metadata": {
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"source": [
"## Summary\n",
"\n",
"Hopefully, I've established a strong case for why we need to expand our skillset beyond the realm of Bayesian statistics alone. While these approaches are, and will always be, at the core of PyMC, the ecosystem is embracing causal reasoning.\n",
"\n",
"In particular, we've seen how we can use the new $\\operatorname{do}$ operator to implement realised or hypothetical interventions on causal models of the world to obtain interventional distributions. Understanding the underlying causal DAG and how interventions change this DAG are crucial components in building our understanding of causal reasoning.\n",
"\n",
"The exciting thing is that there are many more causal reasoning ideas and concepts to learn. And PyMC is adapting as needed to support all your Bayesian causal inference needs.\n",
"\n",
"Readers looking to learn more are suggested to check out the cited blog posts as well as textbooks, {cite:t}`pearl2000causality`, {cite:t}`pearl2016causal`, {cite:t}`mcelreath2018statistical`, {cite:t}`molak2023ciadip`."
]
},
{
"cell_type": "markdown",
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"source": [
"## Authors\n",
"- Authored by [Benjamin T. Vincent](https://github.com/drbenvincent) in July 2023\n",
"- Updated by [Benjamin T. Vincent](https://github.com/drbenvincent) in March 2026"
]
},
{
"cell_type": "markdown",
"id": "ecbb878d-531b-4c96-afe2-c39f928b9162",
"metadata": {},
"source": [
"## References\n",
"\n",
":::{bibliography}\n",
":filter: docname in docnames\n",
":::"
]
},
{
"cell_type": "markdown",
"id": "9fd548d0-5977-4a19-935a-506e86063887",
"metadata": {},
"source": [
"## Watermark"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "265cd4a3-4e02-408c-afe6-80627f0663c4",
"metadata": {
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{
"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: Thu, 05 Mar 2026\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.12.12\n",
"IPython version : 9.11.0\n",
"\n",
"pytensor: 2.38.1\n",
"xarray : 2026.2.0\n",
"\n",
"arviz : 0.23.4\n",
"graphviz : 0.21\n",
"matplotlib: 3.10.8\n",
"numpy : 2.4.2\n",
"packaging : 26.0\n",
"pymc : 5.28.1\n",
"seaborn : 0.13.2\n",
"\n",
"Watermark: 2.6.0\n",
"\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -n -u -v -iv -w -p pytensor,xarray"
]
},
{
"cell_type": "markdown",
"id": "62e8040f-452c-4a11-90f5-fa94eb03c971",
"metadata": {
"editable": true,
"slideshow": {
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},
"tags": []
},
"source": [
":::{include} ../page_footer.md :::"
]
}
],
"metadata": {
"jupytext": {
"notebook_metadata_filter": "substitutions"
},
"kernelspec": {
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"name": "ipython",
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"file_extension": ".py",
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"name": "python",
"nbconvert_exporter": "python",
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