Asymptotic Analysis of Random Walks (Hardcover)

A.A. Borovkov

ISBN 10: 1107074681 / ISBN 13: 9781107074682

Published by Cambridge University Press, Cambridge, 2020

About this Item

Hardcover. This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first established by the author in 1967, under the restrictive condition that the distribution tails decay faster than exponentially. (A close assertion was proved by S.R.S. Varadhan in 1966, but only in a rather special case.) Since then, the principle has always been treated in the literature only under this condition. Recently, the author jointly with A.A. Mogul'skii removed this restriction, finding a natural metric for which the large deviation principle for random walks holds without any conditions. This new version is presented in the book, as well as a new approach to studying large deviations in boundary crossing problems. Many results presented in the book, obtained by the author himself or jointly with co-authors, are appearing in a monograph for the first time. This is a complete and systematic modern treatise on large deviation theory for random walks with light-tailed jump distributions, presented by one of its key creators. Such distributions have numerous applications in statistics, ruin theory, and queuing theory. This is a companion to the author's earlier monograph on heavy-tailed distributions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9781107074682

Bibliographic Details

• Title: Asymptotic Analysis of Random Walks (Hardcover)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2020
• Language: English
• ISBN 10: 1107074681
• ISBN 13: 9781107074682
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This is a companion book to Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions by A.A. Borovkov and K.A. Borovkov. Its self-contained systematic exposition provides a highly useful resource for academic researchers and professionals interested in applications of probability in statistics, ruin theory, and queuing theory. The large deviation principle for random walks was first established by the author in 1967, under the restrictive condition that the distribution tails decay faster than exponentially. (A close assertion was proved by S.R.S. Varadhan in 1966, but only in a rather special case.) Since then, the principle has always been treated in the literature only under this condition. Recently, the author jointly with A.A. Mogul'skii removed this restriction, finding a natural metric for which the large deviation principle for random walks holds without any conditions. This new version is presented in the book, as well as a new approach to studying large deviations in boundary crossing problems. Many results presented in the book, obtained by the author himself or jointly with co-authors, are appearing in a monograph for the first time.

About the Author

A.A. Borovkov is Principal Research Fellow and a Russian Academy of Sciences Adviser at the Sobolev Institute of Mathematics, where he also served as the founding head of the Department of Probability Theory and Mathematical Statistics. He was the founding Chair in Probability Theory and Mathematical Statistics at the Novosibirsk State University in 1965. He has authored and co-authored several influential research monographs. In 1979 he was awarded (together with V.V. Sazonov and V. Statulevičius) the State Prize of the USSR for outstanding research results on asymptotic methods of probability theory, and was elected a full member of the Academy of Sciences of the USSR in 1990. He received the 2002 Russian Government Prize in Education, the 2003 Russian Academy of Sciences A.A. Markov Prize, and the Russian Academy of Sciences A.A. Kolmogorov Prize for his joint work with A.A. Mogul'skii on the extended large deviation principle (2015).