Mechanisms of Conventional and High Tc Superconductivity (International Series of Monographs on Physics)
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Mechanisms of Conventional and High Tc Superconductivity (International Series of Monographs on Physics)

Mechanisms of Conventional and High Tc Superconductivity (International Series of Monographs on Physics)


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About the Book

Bayesian Computation With R, introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order restricted inference, and robust modeling. Algorithms written in R are used to develop Bayesian tests and assess Bayesian models by use of the posterior predictive distribution. The use of R to interface with Win BUGS, a popular MCMC computing language, is described with several illustrative examples. This book is a suitable companion book for an introductory course on Bayesian methods. Also the book is valuable to the statistical practitioner who wishes to learn more about the R language and Bayesian methodology. The Learn Bayes package, written by the author Jim Albert andavailable from the CRAN website, contains all of the R functions described in the book.

 

About the Author

 

Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University. He has served as Chair of the Sports Section of the American Statistical Association. He is author of Bayesian Computation With R, R by Example (Use R), Curve Ball Baseball, Statistics, and the Role of Chance in the Game and many other books.

 



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Product Details
  • ISBN-13: 9780387713847
  • ISBN-10: 0387713840


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