{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(pymc_overview)=\n", "\n", "# Introductory Overview of PyMC\n", "\n", "Note: This text is partly based on the [PeerJ CS publication on PyMC](https://peerj.com/articles/cs-55/) by John Salvatier, Thomas V. Wiecki, and Christopher Fonnesbeck.\n", "\n", ":::{post} 21 December, 2021\n", ":tags: exploratory analysis, glm, mcmc, pymc.Data, pymc.Deterministic, pymc.DiscreteUniform, pymc.Exponential, pymc.HalfStudentT, pymc.InverseGamma, pymc.HalfNormal, pymc.Model, pymc.Normal, pymc.Poisson, pymc.Slice, pymc.StudentT\n", ":category: beginner\n", ":::" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Abstract\n", "\n", "Probabilistic Programming allows for automatic Bayesian inference on user-defined probabilistic models. Gradient-based algorithms for Markov chain Monte Carlo (MCMC) sampling, known as Hamiltonian Monte Carlo (HMC), allow inference on increasingly complex models but requires gradient information that is often not trivial to calculate. PyMC is an open source probabilistic programming framework written in Python that uses Aesara to compute gradients via automatic differentiation, as well as compiling probabilistic programs on-the-fly to one of a suite of computational backends for increased speed. PyMC allows for model specification in Python code, rather than in a domain-specific language, making it easy to learn, customize, and debug. This paper is a tutorial-style introduction to this software package for those already somewhat familiar with Bayesian statistics.\n", "\n", "## Introduction\n", "\n", "Probabilistic programming (PP) allows flexible specification of Bayesian statistical models in code. PyMC is a PP framework with an intuitive and readable, yet powerful, syntax that is close to the natural syntax statisticians use to describe models. It features next-generation Markov chain Monte Carlo (MCMC) sampling algorithms such as the No-U-Turn Sampler (NUTS; Hoffman, 2014), a self-tuning variant of Hamiltonian Monte Carlo (HMC; Duane, 1987). This class of samplers works well on high-dimensional and complex posterior distributions and allows many complex models to be fit without specialized knowledge about fitting algorithms. HMC and NUTS take advantage of gradient information from the likelihood to achieve much faster convergence than traditional sampling methods, especially for larger models. NUTS also has several self-tuning strategies for adaptively setting the tunable parameters of Hamiltonian Monte Carlo, which means you usually don't need to have specialized knowledge about how the algorithms work. \n", "\n", "Probabilistic programming in Python confers a number of advantages including multi-platform compatibility, an expressive yet clean and readable syntax, easy integration with other scientific libraries, and extensibility via C, C++, Fortran or Cython. These features make it relatively straightforward to write and use custom statistical distributions, samplers and transformation functions, as required by Bayesian analysis.\n", "\n", "While most of PyMC's user-facing features are written in pure Python, it leverages Aesara (a fork of the Theano project) to transparently transcode models to C and compile them to machine code, thereby boosting performance. Aesara is a library that allows expressions to be defined using generalized vector data structures called *tensors*, which are tightly integrated with the popular NumPy {class}~numpy.ndarray data structure, and similarly allow for broadcasting and advanced indexing, just as NumPy arrays do. Aesara also automatically optimizes the likelihood's computational graph for speed and allows for compilation to a suite of computational backends, including Jax and Numba.\n", "\n", "Here, we present a primer on the use of PyMC for solving general Bayesian statistical inference and prediction problems. We will first see the basics of how to use PyMC, motivated by a simple example: installation, data creation, model definition, model fitting and posterior analysis. Then we will cover two case studies and use them to show how to define and fit more sophisticated models. Finally we will discuss a couple of other useful features: custom distributions and arbitrary deterministic nodes." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation\n", "\n", "Running PyMC requires a relatively recent Python interpreter, preferrably version 3.8 or greater. A complete Python installation for macOS, Linux and Windows can most easily be obtained by downloading and installing the free [Anaconda Python Distribution](https://store.continuum.io/cshop/anaconda/) by ContinuumIO or the open source [Miniforge](https://github.com/conda-forge/miniforge).\n", "\n", "Once Python is installed, follow the {ref}installation guide  on the PyMC documentation site.\n", "\n", "PyMC is distributed under the liberal [Apache License 2.0](https://github.com/pymc-devs/pymc/blob/master/LICENSE). On the GitHub site, users may also report bugs and other issues, as well as contribute documentation or code to the project, which we actively encourage." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A Motivating Example: Linear Regression\n", "\n", "To introduce model definition, fitting, and posterior analysis, we first consider a simple Bayesian linear regression model with normally-distributed priors for the parameters. We are interested in predicting outcomes $Y$ as normally-distributed observations with an expected value $\\mu$ that is a linear function of two predictor variables, $X_1$ and $X_2$:\n", "\n", "\\begin{aligned} \n", "Y &\\sim \\mathcal{N}(\\mu, \\sigma^2) \\\\\n", "\\mu &= \\alpha + \\beta_1 X_1 + \\beta_2 X_2\n", "\\end{aligned}\n", "\n", "where $\\alpha$ is the intercept, and $\\beta_i$ is the coefficient for covariate $X_i$, while $\\sigma$ represents the observation error. Since we are constructing a Bayesian model, we must assign a prior distribution to the unknown variables in the model. We choose zero-mean normal priors with variance of 100 for both regression coefficients, which corresponds to *weak* information regarding the true parameter values. We choose a half-normal distribution (normal distribution bounded at zero) as the prior for $\\sigma$.\n", "\n", "\\begin{aligned} \n", "\\alpha &\\sim \\mathcal{N}(0, 100) \\\\\n", "\\beta_i &\\sim \\mathcal{N}(0, 100) \\\\\n", "\\sigma &\\sim \\lvert\\mathcal{N}(0, 1){\\rvert}\n", "\\end{aligned}\n", "\n", "### Generating data\n", "\n", "We can simulate some artificial data from this model using only NumPy's {mod}~numpy.random module, and then use PyMC to try to recover the corresponding parameters. We are intentionally generating the data to closely correspond the PyMC model structure." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import arviz as az\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%config InlineBackend.figure_format = 'retina'\n", "# Initialize random number generator\n", "RANDOM_SEED = 8927\n", "rng = np.random.default_rng(RANDOM_SEED)\n", "az.style.use(\"arviz-darkgrid\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# True parameter values\n", "alpha, sigma = 1, 1\n", "beta = [1, 2.5]\n", "\n", "# Size of dataset\n", "size = 100\n", "\n", "# Predictor variable\n", "X1 = np.random.randn(size)\n", "X2 = np.random.randn(size) * 0.2\n", "\n", "# Simulate outcome variable\n", "Y = alpha + beta[0] * X1 + beta[1] * X2 + rng.normal(size=size) * sigma" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is what the simulated data look like. We use the pylab module from the plotting library matplotlib. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "