Abstract

This chapter traces some of the key developments that further developed the underpinning theory and potential applications of Markov chain Monte Carlo (MCMC) since the mid 1990s. In particular, it reviews three main developments: reversible jump or transdimensional MCMC, population MCMC methods, and adaptive MCMC.

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