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Wiley Subjective and Objective Bayesian Statistics - Wiley Series 328

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Description

This comprehensive guide to Bayesian statistics combines subjective and objective approaches with practical applications across multiple disciplines. Written by S. James Press, a leading authority in the field, the book features shorter, more concise chapters that allow flexible learning and reference. Coverage expands to include uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging techniques. The work stands apart by addressing topics rarely found in competing texts, such as the de Finetti Transform, making it essential for statisticians, researchers, and practitioners seeking both theoretical foundations and real-world problem-solving strategies in Bayesian methods.

Key Features

Subjective and objective Bayesian principles presented by S. James Press, a recognised authority in modern Bayesian statistics and methodology.

Concise chapter structure enables flexible study and quick reference for specific statistical concepts and applications.

Coverage of prior distributions, predictivism, estimation, and analysis of variance provides essential tools for practical statistical work.

Dedicated sections on classification and imaging applications demonstrate how Bayesian methods solve contemporary analytical problems.

Includes the de Finetti Transform and advanced topics not typically covered in standard probability and statistics textbooks.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
17 December 2002
Listed Since
09 February 2007

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No barcode data available

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