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Springer Bayesian Nonparametrics - Springer Series in Statistics

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£159.59 £139.53 £143.90 £148.28 £152.66 £157.04 £161.41 13 March 2026 26 March 2026 09 April 2026 22 April 2026 06 May 2026

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Description

Explore the growing field of Bayesian nonparametrics with this systematic treatment from the Springer Series in Statistics. This book provides a comprehensive look at Bayesian nonparametric methods and the underlying theory that has seen tremendous growth over the last three decades. Designed for both Bayesians and general statisticians, this text offers a continuous spectrum of robust alternatives to classical parametric and nonparametric methods. It serves as a bridge between different statistical approaches, making it a valuable resource for those seeking flexible modeling options. This book is primarily intended for graduate students and is suitable for use as a primary text in graduate-level courses. Whether you are studying advanced probability or seeking to expand your statistical toolkit, this volume provides the foundational knowledge required to master these modern methods.

Key Features

Provides the first systematic treatment of Bayesian nonparametric methods and their theoretical foundations.

Offers a continuous spectrum of robust alternatives to traditional parametric and nonparametric statistical methods.

Serves as an ideal textbook for graduate students enrolled in advanced statistics courses.

Appeals to both specialists in Bayesian methods and general statisticians looking for new modeling tools.

Covers the rapid developments in the field observed over the last thirty years.

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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