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Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) by Eric A. Suess, Bruce E. Trumbo is a nonfiction available to read on EtoBox.

What is Introduction to Probability Simulation and Gibbs Sampling with R (Use R!) about?

The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation. No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Notewor

Who reads Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)?

Author

Eric A. Suess, Bruce E. Trumbo

Publisher

Springer Verlag New York

Published

2004

Language

EN

ISBN

9780387402734

Category

nonfiction

Subjects

Mathematics, Science, Stem