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Springer Bayesian Nonparametrics - Springer Series in Statistics

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£159.91 £132.58 £138.54 £144.50 £150.47 £156.43 £162.39 28 July 2026 16 August 2026 05 September 2026 24 September 2026 14 October 2026
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Description

Bayesian Nonparametrics by Springer provides the first systematic treatment of Bayesian nonparametric methods and their underlying theory. This graduate-level text offers a comprehensive exploration of techniques that have expanded dramatically over the past three decades, presenting a continuous spectrum of robust alternatives bridging purely parametric and purely nonparametric classical statistical approaches. Designed primarily for graduate students and suitable as a course textbook, this volume appeals to both Bayesian specialists and general statisticians seeking flexible, principled methods for complex data analysis. The book covers foundational concepts through advanced applications, equipping readers with modern tools for statistical inference that adapt to data complexity without imposing rigid structural assumptions.

Key Features

Bayesian Nonparametrics covers systematic treatment of nonparametric methods with detailed theoretical foundations for advanced statistical practice.

Springer Series in Statistics edition presents robust alternatives between classical parametric and nonparametric approaches for flexible inference.

Graduate-level textbook structured for use in university courses on Bayesian nonparametric methods and applications.

Comprehensive reference suitable for both Bayesian specialists and general statisticians seeking modern flexible statistical techniques.

Three decades of methodological development synthesised into one authoritative resource for probability and statistics professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 April 2003
Listed Since
22 December 2006

Barcode

No barcode data available

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