Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems

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Wai-Yuan, Tan 作者
World Scientific Pub Co Inc
译者
2002-2 出版日期
460 页数
$ 67.00 价格
Pap
丛书系列
9789810248697 图书编码

Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 图书标签: System  MathematicalBiology  Evolution  DynamicSystem   


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发表于2024-11-09


Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 著者简介


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Stochastic Models with Applications to Genetics, Cancers, AIDS and Other Biomemedical Systems 在线电子书 图书描述

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 many state space models for many genetic problems, carcinogenesis and other biomedical problems.

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