ENGLISH

Introduction to stochastic processes

By Gregory F. Lawler

Book information

Publisher
Chapman & Hall
Year
1995
ISBN
0412995115, 9780412995118
LCC
QA274 .L38 1995
Open Library ID
OL1110718M
Language
english
Format
DJVU
Filesize
1 MB (1510660 bytes)
Series
Chapman & Hall probability series
Edition
1
Pages
188\188
Library
Kolxo3
DPI
300
Scanned
yes
Time added
2009-07-20 03:45:11

Description

This concise, informal introduction to stochastic processes evolving with time was designed to meet the needs of graduate students not only in mathematics and statistics, but in the many fields in which the concepts presented are important, including computer science, economics, business, biological science, psychology, and engineering. With emphasis on fundamental mathematical ideas rather than proofs or detailed applications, the treatment introduces the following topics:·Markov chains, with focus on the relationship between the convergence to equilibrium and the size of the eigenvalues of the stochastic matrix·Infinite state space, including the ideas of transience, null recurrence and positive recurrence·The three main types of continual time Markov chains and optimal stopping of Markov chains·Martingales, including conditional expectation, the optional sampling theorem, and the martingale convergence theorem·Renewal process and reversible Markov chains·Brownian motion, both multidimensional and one-dimensionalIntroduction to Stochastic Processes is ideal for a first course in stochastic processes without measure theory, requiring only a calculus-based undergraduate probability course and a course in linear algebra.

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