{"product_id":"an-introduction-to-bayesian-analysis-theory-and-methods-springer-texts-in-statistics-9780387400846","title":"An Introduction to Bayesian Analysis Theory and Methods Springer Texts in Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior, and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems in Inference.- High-dimensional Problems.- Some Applications.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003e\"This text provides a unique blend of theory, methods and applications that is suitable for a one-semester course in Bayesian analysis.\" C.M. O'Brien for Short Book Reviews of the ISI, December 2006\u003c\/p\u003e \u003cp\u003e\"The material of the book covers more than a one semester course and provides enough results for a second course. … the book is simultaneously useful for different readership groups. Instructors will get guidelines for preparing a course on Bayesian statistics … . Students will enjoy the excellently clear … style and the exercises at the end of each chapter. Practitioners will find plenty of classical and recent Bayesian methods. … I highly recommend the book to all readers who are interested in Bayesian statistics.\" (Friedrich Liese, Mathematical Reviews, Issue, 2007 g)\u003c\/p\u003e \u003cp\u003e\"This book, with its 10 chapters, represents a valuable introduction to Bayesian statistics and varies among theory, methods and applications. … The book’s material is invaluable, and is presented with clarity … . Each chapter’s topics are covered by various examples and many exercises. … gives a constructive approach to the statistical analysis based on Bayes’ formula. … So, it is strongly recommended to libraries and all who are interested in statistics.\" (Hassan S. Bakouch, Journal of Applied Statistics, Vol. 35 (3), 2008)\u003c\/p\u003e \u003cp\u003e\"Taken overall, the book should be recommended to a wide audience...as a source of interesting and mind-provoking information about Bayesian statistics. \" ( ISCB News, 2008)\u003c\/p\u003e \u003cp\u003e\"Bayesian analysis have arrived. … This text offers one approach based on the pedagogic decision to ‘balance theory, methods, and applications.’ … The brief introduction to classical inference … provides a nice basis for the objective Bayesian treatment offered by the authors throughout the book. … this book appealing for classically trained statisticians. … Overall, I congratulate the authors for a largely successful attempt to introduce true religion.\" (C. Shane Reese, Journal of the American Statistical Association, Vol. 103 (482), June, 2008)\u003c\/p\u003e \u003cp\u003e\"The book under review aims to contribute to existing graduate-level introductory texts on Bayesian analysis by providing an impressive blend of theory, methods, and applications. It consists of 10 chapters and 5 appendices.\" (Joseph Melamed, Zentralblatt MATH, Vol. 1135 (13), 2008)\u003c\/p\u003e \u003cp\u003e\"This book is an introduction to the theory and methods underlying Bayesian statistics written by three absolute experts on the field. It is primarily intended for graduate students taking a first course in Bayesian analysis or instructors preparing an introductory one-semester course on Bayesian analysis. … The book is written in a clear, relatively mathematical style … .\" (Björn Bornkamp, Advances in Statistical Analysis, Issue 1, 2009)\u003c\/p\u003e \u003cp\u003e\"This book introduces the mathematical theory of Bayesian analysis along the statistical line of decision theory. … This book is intended as a graduate-level analysis of mathematical problems in Bayesian statistics and can in parts be used as textbook on Bayesian theory. … Overall, if I had to recommend a good book on new advancements of Bayesian statistics in the last decade from a theoretical decision point of view, I would recommend this book.\" (Wolfgang Polasek, Statistical Papers, Vol. 50, 2009)\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eStatistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior, and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems in Inference.- High-dimensional Problems.- Some Applications.","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":51767457546583,"sku":"9780387400846","price":123.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387400846.jpg?v=1758713364","url":"https:\/\/bookcurl.com\/products\/an-introduction-to-bayesian-analysis-theory-and-methods-springer-texts-in-statistics-9780387400846","provider":"Book Curl","version":"1.0","type":"link"}