Christian Robert

Gebundenes Buch

The Bayesian Choice

From Decision-Theoretic Foundations to Computational Implementation

Beschreibung

Bayesian statistics is a very active research area with new theoretical results and applications. This book will serve as an introduction to the area.

Autor

Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at the Université Paris Dauphine, and external lecturer at Ecole Polytechnique, Palaiseau, France. He was previously Head of the Statistics Laboratory at the Center for Research in Economics and Statistics (CREST) of the National Institute for Statistics and Economic Studies (INSEE) in Paris. In addition to many papers on Bayesian statistics, simulation methods, and decision theory, he has written three other books.

Produktdetails

• Springer Texts in Statistics
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-0-387-95231-4
• New ed.
• Seitenzahl: 632
• Erscheinungstermin: 25. Mai 2001
• Englisch
• Abmessung: 241mm x 160mm x 40mm
• Gewicht: 1142g
• ISBN-13: 9780387952314
• ISBN-10: 0387952314
• Artikelnr.: 05592615

Rezensionen

From the reviews of the second edition:

SHORT BOOK REVIEWS

"The text reads fluently and beautifully throughout, with light, good-humoured touches that warm the reader without being intrusive. There are many examples and exercises, some of which draw out the essence of work of other authors. Each chapter ends with a "Notes" section containing further brief descriptions of research papers. A reference section lists about eight hundred and sixty references. Each chapter begins with a quotation from "The Wheel of Time" a sequence of books by Robert Jordan. Only a few displays and equations have numbers attached. This is an extremely fine, exceptional text of the highest quality."
ISI Short Book Reviews, April

2002

JOURNAL OF MATHEMATICAL PSYCHOLOGY

"This book is an excellent introduction to Bayesian statistics and decision making. The author does an outstanding job in explicating the Bayesian research program and in discussing how Bayesian statistics differs form fiducial inference and from the Newman-Pearson likelihood approach...The book would be well suited for a graduate-level course in a mathematical statistics department. There are numerous examples and exercises to enhance a deeper understanding of the material. The writing is authoritative, comprehensive, and scholarly."

"This book is a publication in the well-known Springer Series in statistics published in 2001. It is a textbook that presents an introduction to Bayesian statistics and decision theory for graduate level course ... . The textbook contains a wealth of references to the literature; therefore it can also be recommended as an important reference book for statistical researchers. ... for those who want to make a Bayesian choice, I recommend that you make your choice by getting hold of Robert's book, The Bayesian Choice." (Jan du Plessis, Newsletter of the South African Statistical Association, June, 2003)

"This is the second edition of theauthor's graduate level textbook 'The Bayesian choice: a decision-theoretic motivation.' ... The present book is a revised edition. It includes important advances that have taken place since then. Different from the previous edition is the decreased emphasis on decision-theoretic principles. Nevertheless, the connection between Bayesian Statistics and Decision Theory is developed. Moreover, the author emphasizes the increasing importance of computational techniques." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 980, 2002)