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.