Nested Sampling’s Convergence
John Skilling, Paul M. Goggans, Chun-Yong Chan · AIP conference proceedings · 2009
Nested sampling is an algorithm for computing the Bayesian evidence (or prior predictive, marginal likelihood), through a probabilistic method having stated and controllable accuracy. This paper presents the method more clearly than before, and includes convergence proofs that were previously missing.