![]() ![]() Probabilistic Programming and Bayesian Methods for Hackers: Fantastic book with many applied code examples. Learn Bayesian statistics with a book together with PyMC Getting started If you already know about Bayesian statistics: Transparent support for missing value imputation ![]() With thousands of parameters with little specialized knowledge ofįor fast approximate posterior estimation as well as mini-batch ADVIĬomputation optimization and dynamic C or JAX compilation Powerful sampling algorithms, such as the No U-Turn Intuitive model specification syntax, for example, x ~ N(0,1) ![]() Its flexibility and extensibility make it applicable to aįor questions on PyMC, head on over to our PyMC Discourse forum. PyMC (formerly PyMC3) is a Python package for Bayesian statistical modelingįocusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI)Īlgorithms. ![]()
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