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(Ebook) Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov, K.A. Borovkov; O.B. Borovkova (Translator) ISBN 9780511721397, 9780521881173, 0511721390, 052188117X, B01DM25DNQ

  • SKU: EBN-1381490
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Instant download (eBook) Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions after payment.
Authors:A.A. Borovkov, K.A. Borovkov; O.B. Borovkova (Translator)
Pages:656 pages.
Year:2008
Editon:1
Publisher:Cambridge University Press
Language:english
File Size:2.93 MB
Format:pdf
ISBNS:9780511721397, 9780521881173, 0511721390, 052188117X, B01DM25DNQ
Categories: Ebooks

Product desciption

(Ebook) Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov, K.A. Borovkov; O.B. Borovkova (Translator) ISBN 9780511721397, 9780521881173, 0511721390, 052188117X, B01DM25DNQ

Main subject categories: • Asymptotic analysis • Heavy-tailed distributions • Random walks • Probability • Mathematical statistics

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.

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