User Guide {#UserGuide}

Welcome to the MaCh3 User Guide!

Hover over User Guide to unroll more options and learn basics about MCMC.

Table of Contents

• FAQ
• Bayesian Analysis
• Posterior Predictive
• MCMC Convergence
• Adaptive MCMC
• Splines
• Containers
• Clusters Info
• Python Binding

Fun first steps with MCMC

MCMC is a very popular method, here is a list of useful links to get better understanding:

• https://chi-feng.github.io/mcmc-demo/app.html?algorithm=RandomWalkMH&target=banana
• https://www.stat.auckland.ac.nz/~fewster/325/notes/ch9.pdf
• https://langvillea.people.charleston.edu/MCapps7.pdf