Turing Documentation

Welcome to the documentation for Turing.

Introduction

Turing is a general-purpose probabilistic programming language for robust, efficient Bayesian inference and decision making. Current features include:

• General-purpose probabilistic programming with an intuitive modelling interface;
• Robust, efficient Hamiltonian Monte Carlo (HMC) sampling for differentiable posterior distributions;
• Particle MCMC sampling for complex posterior distributions involving discrete variables and stochastic control flow; and
• Compositional inference via Gibbs sampling that combines particle MCMC, HMC and random-walk MH (RWMH).