An introduction to stochastic processes with applications to biology

By:

Allen, Linda J. S

Material type: Text

9781439818824

Subject(s):

DDC classification:

519.23 22 ALL-I

LOC classification:

QA274 .A63 2011

Other classification:

MAT003000 | MAT029010

Contents:

Mean First Passage Time -- An Example: Genetics Inbreeding Problem -- Unrestricted Random Walk in Higher Dimensions -- 2.10.1. Two Dimensions --

3.7. Logistic Growth Process -- 3.8. Quasistationary Probability Distribution -- 3.9. SIS Epidemic Model -- 3.9.1. Deterministic Model -- 3.9.2. Stochastic Model -- 3.10. Chain Binomial Epidemic Models --

Summary: "The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"--

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD Reference	Mathematics	REF 519.23 ALL-I (Browse shelf(Opens below))	Available		004466

Total holds: 0

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Previous	REF 519.2 VAR-P Probability theory	REF 519.2 YAT-P Probability and stochastic processes : a friendly introduction for electrical and computer engineers	REF 519.2 YAT-P Probability and stochastic processes	REF 519.23 ALL-I An introduction to stochastic processes with applications to biology	REF 519.23 GAL-S Stochastic processes :	REF 519.23 GAR-S Stochastic methods :	REF 519.3 BEC-C Combinatorial games :	Next

Mean First Passage Time -- An Example: Genetics Inbreeding Problem -- Unrestricted Random Walk in Higher Dimensions -- 2.10.1. Two Dimensions --

"The second edition of a bestseller, this textbook delineates stochastic processes, emphasizing applications in biology. It includes MATLAB throughout the book to help with the solutions of various problems. The book is organized according to the three types of stochastic processes: discrete time Markov chains, continuous time Markov chains and continuous time and state Markov processes. It contains a new chapter on the biological applications of stochastic differential equations and new sections on alternative methods for derivation of a stochastic differential equation, data and parameter estimation, Monte Carlo simulation, and more"--

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