Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians. This new edition has been revised towards a coherent and flowing coverage of these simulation techniques, with incorporation of the most recent developments in the field. In particular, the introductory coverage of random variable generation has been totally revised, with many concepts being unified through a fundamental theorem of simulation There are five completely new chapters that cover Monte Carlo control, reversible jump, slice sampling, sequential Monte Carlo, and perfect sampling. There is a more in-depth coverage of Gibbs sampling, which is now contained in three consecutive chapters. The development of Gibbs sampling starts with slice sampling and its connection with the fundamental theorem of simulation, and builds up to two-stage Gibbs sampling and its theoretical properties. A third chapter covers the multi-stage Gibbs sampler and its variety of applications. Lastly, chapters from the previous edition have been revised towards easier access, with the examples getting more detailed coverage. This textbook is intended for a second year graduate course, but will also be useful to someone who either wants to apply simulation techniques for the resolution of practical problems or wishes to grasp the fundamental principles behind those methods. The authors do not assume familiarity with Monte Carlo techniques (such as random variable generation), with computer programming, or with any Markov chain theory (the necessary concepts are developed in Chapter 6). A solutions manual, which covers approximately 40% of the problems, is available for instructors who require the book for a course. Christian P. Robert is Professor of Statistics in the Applied Mathematics Department at UniversitA(c) Paris Dauphine, France. He is also 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, and Adjunct Professor at Ecole Polytechnique. He has written three other books, including The Bayesian Choice, Second Edition, Springer 2001. He also edited Discretization and MCMC Convergence Assessment, Springer 1998. He has served as associate editor for the Annals of Statistics and the Journal of the American Statistical Association. He is a fellow of the Institute of Mathematical Statistics, and a winner of the Young Statistician Award of the SocietiA(c) de Statistique de Paris in 1995. George Casella is Distinguished Professor and Chair, Department of Statistics, University of Florida. He has served as the Theory and Methods Editor of the Journal of the American Statistical Association and Executive Editor of Statistical Science. He has authored three other textbooks: Statistical Inference, Second Edition, 2001, with Roger L. Berger; Theory of Point Estimation, 1998, with Erich Lehmann; and Variance Components, 1992, with Shayle R. Searle and Charles E. McCulloch. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected fellow of the International Statistical Institute.
發表於2024-11-05
Monte Carlo Statistical Methods (Springer Texts in Statistics) 2024 pdf epub mobi 電子書 下載
當初決定做Monte Carlo,導師給我推薦瞭此書作為入門。 這本書是我所知道的Monte Carlo領域的幾本好書之一(另一本在看的是Jun Liu寫的)。本書內容包括Monte carlo領域從入門到精通的各個層次,正如其名,雖然Monte Carlo有著廣泛的應用,但此書主要介紹其在統計學裏麵的應用...
評分知道這本書是某年在人大聽Hong介紹的,那時還沒接觸過這方麵的內容,一看作者,Robert之前看過他寫過的關於Bayesian Statistics,Casella之前看過他和Lehmann閤寫的書,都素大師啊。找來看過後,兩個字的感覺:過癮。這本書比較適閤有些貝葉斯基礎和極限理論基礎的讀者吧應該。
評分知道這本書是某年在人大聽Hong介紹的,那時還沒接觸過這方麵的內容,一看作者,Robert之前看過他寫過的關於Bayesian Statistics,Casella之前看過他和Lehmann閤寫的書,都素大師啊。找來看過後,兩個字的感覺:過癮。這本書比較適閤有些貝葉斯基礎和極限理論基礎的讀者吧應該。
評分知道這本書是某年在人大聽Hong介紹的,那時還沒接觸過這方麵的內容,一看作者,Robert之前看過他寫過的關於Bayesian Statistics,Casella之前看過他和Lehmann閤寫的書,都素大師啊。找來看過後,兩個字的感覺:過癮。這本書比較適閤有些貝葉斯基礎和極限理論基礎的讀者吧應該。
評分知道這本書是某年在人大聽Hong介紹的,那時還沒接觸過這方麵的內容,一看作者,Robert之前看過他寫過的關於Bayesian Statistics,Casella之前看過他和Lehmann閤寫的書,都素大師啊。找來看過後,兩個字的感覺:過癮。這本書比較適閤有些貝葉斯基礎和極限理論基礎的讀者吧應該。
圖書標籤: statistics Statistics 濛特卡羅 貝葉斯 課程教材 英文 統計 數學
Monte Carlo Statistical Methods (Springer Texts in Statistics) 2024 pdf epub mobi 電子書 下載