Can I read Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics) on EtoBox?

Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics) by W.R. Gilks; Sylvia Richardson; David Spiegelhalter; Charles J. Geyer is a nonfiction available to read on EtoBox.

What is Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics) about?

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France, researchers map a rare disease with relatively little variation. Each of these studies applied Markov chain Monte Carlo methods to produce more accurate and inclusive results. General state-space Markov chain theory has seen several developments that have made it both more accessible and more powerful to the general statistician. Markov Chain Monte Carlo in Practice introduces MCMC methods and their applications, providing some theoretical background as well. The authors are researchers who have made key contributions in the recent development of MCMC methodology and its application. Considering the broad audience, the editors emphasize practice rather than theory, keeping the technical content to a minimum. The examples range from the simplest application, Gibbs sampling, to more complex applications. The first chapter contains enough i

Who reads Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics)?

Author

W.R. Gilks; Sylvia Richardson; David Spiegelhalter; Charles J. Geyer

Publisher

Chapman and Hall/CRC

Published

1995

Language

EN

ISBN

9780412055515

Category

nonfiction

Subjects

Mathematics, Medical, Science