A First Look at Stochastic Processes
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Book Overview This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like rep...
This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and optional stopping theorems for martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and renewal theory.
Interspersed throughout are applications to such topics as gambler's ruin probabilities, random walks on graphs, sequence waiting times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.
The focus is always on making the theory as well-motivated and accessible as possible, to allow students and readers to learn this fascinating subject as easily and painlessly as possible.
Book Details Format: Paperback | Pages: 202 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9811208972
FormatPaperback
Pages202
LanguageEnglish
ISBN9811208972
EAN9789811208973
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date2019-09-23
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.64 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.45 Inches
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