Metastability in molecular dynamics and Bayesian inference methods

Metastability is a phenomenon that concerns both molecular dynamic (and in particular protein dynamic) and Bayesian inference, especially when the posterior distribution of interest is multimodal. Restricting our focus to Markov processes and Markov chains, we explore this duality and study how Bayesian inference methods can benefit from practices developed in protein dynamic analysis and conversely. Questions of interest include the characterization and consequences of metastability in both perspectives. A particular attention will be given to distinguish between reversible and non-reversible processes/chains.Non UBCUnreviewedAuthor affiliation: Universite de MontrealResearche