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Asymptotic Analysis of Random Walks

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Asymptotic Analysis of Random Walks Synopsis

This book focuses on the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular, regularly varying, sub- and semiexponential) jump distributions. Large deviation probabilities are of great interest in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer-overflow probabilities in queueing theory. The classical large deviation theory, developed for distributions decaying exponentially fast (or even faster) at infinity, mostly uses analytical methods. If the fast decay condition fails, which is the case in many important applied problems, then direct probabilistic methods usually prove to be efficient. This monograph presents a unified and systematic exposition of the large deviation theory for heavy-tailed random walks. Most of the results presented in the book are appearing in a monograph for the first time. Many of them were obtained by the authors.

About This Edition

ISBN: 9780521881173
Publication date:
Author: A A Borovkov, K A University of Melbourne Borovkov
Publisher: Cambridge University Press
Format: Hardback
Pagination: 656 pages
Series: Encyclopedia of Mathematics and its Applications
Genres: Probability and statistics
Calculus and mathematical analysis

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