We review Skilling's nested sampling (NS) algorithm for Bayesian inferen...
The true posterior distribution of a Bayesian neural network is massivel...
We conduct a thorough analysis of the relationship between the out-of-sa...
We present a principled Bayesian framework for signal reconstruction, in...
Nested sampling is an increasingly popular technique for Bayesian
comput...
Nested sampling is an increasingly popular technique for Bayesian comput...
In this paper we present an algorithm for rapid Bayesian analysis that
c...
Projective geometry provides the preferred framework for most implementa...