£74.65

Cambridge University Press Cambridge Fundamentals of Nonparametric Bayesian Inference Book

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£75.08 £64.75 £67.00 £69.26 £71.51 £73.77 £76.02 01 May 2026 22 May 2026 12 June 2026 03 July 2026 24 July 2026

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Description

Explore the expanding world of Bayesian nonparametrics with this authoritative text from Cambridge University Press. As computing power grows, Bayesian methods for infinite-dimensional models have become a standard framework for inference across many subject areas. This book provides a comprehensive synthesis of the theoretical advances made over the last twenty years. Written by leading researchers, the text covers essential topics including prior construction, computation, and the large sample behavior of posteriors. Because understanding how posteriors behave is necessary for selecting effective priors, the book develops large sample theory in a systematic way. This resource is designed for those seeking a deep understanding of the mathematical foundations and practical applications of nonparametric Bayesian methods in modern statistical science.

Key Features

Comprehensive synthesis of Bayesian nonparametrics covering theoretical advances from the past twenty years.

Detailed guidance on prior construction and computational methods for infinite-dimensional models.

Systematic development of large sample theory to help select effective priors.

Expert insights from leading researchers in the field of statistical and probabilistic mathematics.

Academic resource part of the Cambridge Series in Statistical and Probabilistic Mathematics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 June 2017
Listed Since
27 September 2016

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