Nested Sampling: Past, Present, and Future (Dr. Joshua Speagle)
Dr. Speagle will provide an overview of Nested Sampling, a complementary framework to Markov Chain Monte Carlo approaches that is designed to estimate marginal likelihoods (i.e. Bayesian evidences) and posterior distributions. He will start by discussing some of the technical details and history behind the approach, focusing on its motivation, formulation, and execution (the Past).