PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

The Gaussian Process Density Sampler
Ryan Adams, Iain Murray and David MacKay
In: The Learning Workshop, 1-4 April 2008, Snowbird, Utah.

Abstract

We propose the Gaussian Process Density Sampler (GPDS), a nonparametric, practical and consistent method of constructing a Markov chain on the properties of a posterior distribution on an unknown density, without approximation.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:4284
Deposited By:Ryan Adams
Deposited On:06 March 2009