Fundamentals of Nonparametric Bayesian Inference

by Aad van der Vaart and Subhashis Ghosal

Explosive growth in computing power has made Bayesian methods for infinite-dimensional models - Bayesian nonparametrics - a nearly universal framework for inference, finding practical use in numerous subject areas. Written by leading researchers, this authoritative text draws on theoretical advances of the past twenty years to synthesize all aspects of Bayesian nonparametrics, from prior construction to computation and large sample behavior of posteriors...

• Format: Hardcover
• Language: English
• ISBN: 0521878268
• ISBN13: 9780521878265
• Release Date: June 2017
• Publisher: Cambridge University Press
• Length: 670 Pages
• Weight: 3.05 lbs.
• Dimensions: 1.7" x 7.4" x 10.4"