Bayesian Inference Toolkit Based on Markov Chain Monte Carlo (MCMC) Sampling

This source code implements a Bayesian inference toolkit utilizing Markov Chain Monte Carlo (MCMC) methods, featuring MCMC sampling algorithms, Gaussian classification models based on MCMC, and detailed explanations of various sampling techniques. The package includes comprehensive documentation for easy implementation.

MATLAB Implementation of Gaussian Process for Regression and Classification

High-quality Gaussian process source code implementing regression and classification with probabilistic predictions, featuring clear kernel functions and covariance matrix computations