inference-tools 0.5.2

A collection of python tools for Bayesian data analysis

inference-tools

This package aims to provide a set of python-based tools for Bayesian data analysis which are simple to use, allowing them to applied quickly and easily.

Features

• Implementations of MCMC algorithms like Gibbs sampling and Hamiltonian Monte-Carlo for sampling from user-defined posterior distributions.

• Density estimation and plotting tools for analysing and visualising inference results.

• Gaussian-process regression and optimisation.

Installation

inference-tools is available from PyPI, so can be easily installed using pip as follows:

pip install inference-tools

Documentation

Full documentation is available at inference-tools.readthedocs.io.