Stochastic models with applications to genetics, cancers, AIDS, and other biomedical systems /

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Bibliographic Details
Author / Creator:Tan, W. Y., 1934-
Edition:2nd edition.
Imprint:New Jersey : World Scientific, 2015.
Description:1 online resource.
Language:English
Series:Series on concrete and applicable mathematics ; volume 19
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11249794
Hidden Bibliographic Details
ISBN:9789814390958
981439095X
9789814390941
9814390941
Notes:Includes bibliographical references and index.
Print version record.
Other form:Print version: Tan, W. Y., 1934- Stochastic models with applications to genetics, cancers, AIDS, and other biomedical systems. 2nd edition 9789814390941

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100 1 |a Tan, W. Y.,  |d 1934-  |0 http://id.loc.gov/authorities/names/n86001404 
245 1 0 |a Stochastic models with applications to genetics, cancers, AIDS, and other biomedical systems /  |c by Wai-Yuan Tan. 
250 |a 2nd edition. 
264 1 |a New Jersey :  |b World Scientific,  |c 2015. 
300 |a 1 online resource. 
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490 0 |a Series on concrete and applicable mathematics ;  |v volume 19 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Preface; 1 Introduction; 1.1. Some Basic Concepts of Stochastic Processes and Examples; 1.2. Markovian and Non-Markovian Processes, Markov Chains and Examples; 1.3. Diffusion Processes and Examples; 1.4. State Space Models and Hidden Markov Models; 1.5. The Scope of the Book; 1.6. Complements and Exercises; References; 2 Discrete Time Markov Chain Models in Genetics and Biomedical Systems; 2.1. Examples fromGenetics and AIDS; 2.2. The Transition Probabilities and Computation; 2.3. The Structure and Decomposition of Markov Chains. 
505 8 |a 2.4. Classification of States and the Dynamic Behavior of Markov Chains2.5. The Absorption Probabilities of Transient States; 2.5.1. The case when CT is finite; 2.5.2. The case when CT is infinite; 2.6. The Moments of First Absorption Times; 2.6.1. The case when CT is finite; 2.7. Some Illustrative Examples; 2.8. Finite Markov Chains; 2.8.1. The canonical form of transition matrix; 2.8.2. Absorption probabilities of transient states in finite Markov chains; 2.9. Stochastic Difference Equation for Markov Chains With Discrete Time; 2.9.1. Stochastic difference equations for finite Markov chains. 
505 8 |a 2.9.2. Markov chains in the HIV epidemic in homosexual or IV drug user populations2.10.Complements and Exercises; 2.11. Appendix; 2.11.1. The Hardy-Weinberg law in population genetics; 2.11.1.1. The Hardy-Weinberg law for a single locus in diploid populations; 2.11.1.2. The Hardy-Weinberg law for linked loci in diploid populations; 2.11.2. The inbreeding mating systems; 2.11.3. Some mathematical methods for computing An, the nth power of a square matrix A; References; 3 Stationary Distributions and MCMC in Discrete Time Markov Chains; 3.1. Introduction. 
505 8 |a 3.2. The Ergodic States and Some Limiting Theorems3.3. Stationary Distributions and Some Examples; 3.4. Applications of Stationary Distributions and Some MCMC Methods; 3.4.1. The Gibbs sampling method; 3.4.2. The weighted bootstrap method for generating random samples; 3.4.3. The Metropolis-Hastings algorithm; 3.5. Some Illustrative Examples; 3.6. Estimation of Linkage Fraction by Gibbs Sampling Method; 3.7. Complements and Exercises; 3.8. Appendix: A Lemma for Finite Markov Chains; References; 4 Continuous-Time Markov Chain Models in Genetics, Cancers and AIDS; 4.1. Introduction. 
505 8 |a 4.2. The Infinitesimal Generators and an Embedded Markov Chain4.3. The Transition Probabilities and Kolmogorov Equations; 4.4. Kolmogorov Equations for Finite Markov Chains with Continuous Time; 4.5. Complements and Exercises; References; 5 Absorption Probabilities and Stationary Distributions in Continuous-Time Markov Chain Models; 5.1. Absorption Probabilities and Moments of First Absorption Times of Transient States; 5.1.1. The case when CT is finite; 5.2. The Stationary Distributions and Examples; 5.3. Finite Markov Chains and the HIV Incubation Distribution. 
650 0 |a Medicine  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh85083085 
650 0 |a Stochastic processes.  |0 http://id.loc.gov/authorities/subjects/sh85128181 
650 0 |a Genetics  |x Mathematical models.  |0 http://id.loc.gov/authorities/subjects/sh85053879 
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650 0 |a Cancer  |x Mathematical models. 
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650 7 |a Medicine  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01014997 
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776 0 8 |i Print version:  |a Tan, W. Y., 1934-  |t Stochastic models with applications to genetics, cancers, AIDS, and other biomedical systems.  |b 2nd edition  |z 9789814390941  |w (DLC) 2015031964  |w (OCoLC)926623329 
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