[PDF.38tu] Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)

Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)

[PDF.nf67] Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)

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 | #1205737 in Books |  2002-10-17 | Original language:English | PDF # 1 |  .84 x6.34 x9.60l,1.40 | File type: PDF | 344 pages

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||16 of 18 people found the following review helpful.| An excellent book on Monte Carlo|By Reader in Statistics|Jun Liu has been a prominent researcher in MCMC since the mid 90's. His research has contributed a great deal to the development of Gibbs sampler, sequential Monte Carlo, weighting/importance sampling, missing data, and MCMC related applications in Bioinformatics. Not surprisingly, this book has them all, plus many oth| ||From the reviews: |MATHEMATICAL REVIEWS |"This book is an excellent survey of current Monte Carlo methods. A strength of the book is the inclusion of a number of applications to current scientific problems. The applications amply demonstrate the relevance o

This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and ...

You can specify the type of files you want, for your gadget.Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)   |  Jun S. Liu. Which are the reasons I like to read books. Great story by a great author.

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