Monte Carlo Statistical Methods

Springer Texts in Statistics

by Christian P. Robert, George Casella

Monte Carlo statistical methods, particularly those based on Markov chains, have now matured to be part of the standard set of techniques used by statisticians. This book is intended to bring these techniques into the class­ room, being (we hope) a self-contained logical development of the subject, with all concepts being explained in detail, and all theorems, etc. having detailed proofs. There is also an abundance of examples and problems, re­ lating the concepts with statistical practice and enhancing primarily the application of simulation techniques to statistical problems of various dif­ ficulties. This is a textbook intended for a second-year graduate course. We do not assume that the reader has any familiarity with Monte Carlo techniques (such as random variable generation) or with any Markov chain theory. We do assume that the reader has had a first course in statistical theory at the level of Statistical Inference by Casella and Berger (1990). Unfortu­ nately, a few times throughout the book a somewhat more advanced no­ tion is needed. We have kept these incidents to a minimum and have posted warnings when they occur. While this is a book on simulation, whose actual implementation must be processed through a computer, no requirement is made on programming skills or computing algorithms are pre­ sented in a program-like format but in plain text rather than in a specific programming language. (Most of the examples in the book were actually implemented in C, with the S-Plus graphical interface.

Genres: Mathematics, Science, Textbooks

Kindle Edition

First published August 1, 1999

Reviews

[Christopher · Rating 5 out of 5]

I purchased this book on a whim right as I started working on my dissertation, and it was a lucky find. The authors' treatment of the topic covers both the practical and the theoretical aspects thoroughly, enough that self-study is possible. I highly recommend it to anyone looking for a solid introduction to the topic.