{ "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 PyTensor 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 PyTensor (a fork of the Theano project) to transparently transcode models to C and compile them to machine code, thereby boosting performance. PyTensor 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. PyTensor 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, preferably 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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\n", "text/plain": [ "