Detailed Reversible Jump Markov Chain Monte Carlo (RJMCMC) Sampling Algorithm

A comprehensive implementation of the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm, accompanied by relevant research papers for comparative analysis. The program includes multiple transition mechanisms (birth, death, split, merge, update) with detailed code comments and algorithmic explanations.

A Detailed Implementation of Reversible Jump Markov Chain Monte Carlo (RJMCMC) Sampling Algorithm

A comprehensive program implementing the Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm with accompanying research papers for cross-reference. Features multiple proposal mechanisms (Birth, Death, Split, Merge, Update) with detailed code-level explanations of transition operations and acceptance probability calculations.

RJMCMC Algorithm with Resampling Step: Enhanced Bayesian Model Selection

Implementation of Reversible Jump Markov Chain Monte Carlo with resampling for improved model space exploration