Project Title:
Markov Chain Monte Carlo for Complicated Distributions
This project aims to study and develop Markov chain Monte Carlo (MCMC) algorithms for sampling from complicated probability distributions, especially those that arise in Bayesian statistics. The group will test new and existing algorithms at MSI to study their efficiency.
Project Investigators
Youngwoo Kwon
Qian Qin
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