Limit Theorems and Applications
Gut, Allan
Originally published as volume 5 in the series: Applied Probability
2nd ed. 2009, XIV, 263p.
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Classical probability theory provides information about random walks after a fixed number of steps. For applications, however, it is more natural to consider random walks evaluated after a random number of steps. Stopped Random Walks: Limit Theorems and Applications shows how this theory can be used to prove limit theorems for renewal counting processes, first passage time processes, and certain two-dimensional random walks, as well as how these results may be used in a variety of applications.
The present second edition offers updated content and an outlook on further results, extensions and generalizations. A new chapter introduces nonlinear renewal processes and the theory of perturbed random walks, which are modeled as random walks plus "noise".
This self-contained research monograph is motivated by numerous examples and problems. With its concise blend of material and over 300 bibliographic references, the book provides a unified and fairly complete treatment of the area. The book may be used in the classroom as part of a course on "probability theory", "random walks" or "random walks and renewal processes", as well as for self-study.
From the reviews:
"The book provides a nice synthesis of a lot of useful material."
--American Mathematical Society
"...[a] clearly written book, useful for researcher and student."
--Zentralblatt MATH
Content Level » Graduate
Keywords » Probability theory - Sage - limit theorems - perturbed random walks - probability - renewal processes - two-dimensional random walks
Related subjects » Applications - Probability Theory and Stochastic Processes
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