Stochastic Models With Applications to Genetics, Cancers, AIDS, and Other Biomedical Systems

Stochastic Models With Applications to Genetics, Cancers, AIDS, and Other Biomedical Systems

eBook - 2015
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World Scientific Pub Co Inc
This book presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. It illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, AIDS epidemiology and other biomedical systems.One feature of the book is that it describes the basic MCMC (Markov chain and Monte Carlo) procedures and illustrates how to use the Gibbs sampling method and the multilevel Gibbs sampling method to solve many problems in genetics, carcinogenesis, AIDS and other biomedical systems.As another feature, the book develops many state space models for many genetic problems, carcinogenesis, AIDS epidemiology and HIV pathogenesis. It shows in detail how to use the multilevel Gibbs sampling method to estimate (or predict) simultaneously the state variables and the unknown parameters in cancer chemotherapy, carcinogenesis, AIDS epidemiology and HIV pathogenesis. As a matter of fact, this book is the first to develop several state space models for many genetic problems, carcinogenesis and other biomedical problems.To emphasize special applications to medical problems, in this new edition the book has added two new chapters to illustrate how to develop biologically-supported stochastic models and state space models of carcinogenesis in human beings. Specific examples include hidden Markov models and state space models for human colon cancer, human liver cancer and some human pediatric cancers such as retinoblastoma and hepatoblastoma. The book also gives examples to illustrate how to develop procedures to assess cancer risk of environmental agents through initiation-promotion protocols.

Book News
Author Tan Wai-Yuan presents readers with the second edition of his examination of the application of Markov chain and Monte Carlo procedures, alongside Gibbs sampling and other stochastic models in solving problems in genetics, carcinogenesis, AIDS epidemiology, and a variety of other biomedical systems. Over the books ten chapters, the author covers discrete time Markov chain models in genetics and biomedical systems; stationary distributions and MCMC in discrete time Markov chains; the use of continuous-time Markov chain models in genetics, cancers, and AIDS; and other related subjects. The author is a faculty member of the University of Memphis, Tennessee. Annotation ©2016 Ringgold, Inc., Portland, OR (protoview.com)

Publisher: New Jersey :, World Scientific,, 2015
Edition: 2nd edition
ISBN: 9789814390958
981439095X
9814390941
9789814390941
Characteristics: 1 online resource

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