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Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions (Encyclopedia of Mathematics and its Applications, Series Number 118) - Hardcover

 
9780521881173: Asymptotic Analysis of Random Walks: Heavy-Tailed Distributions (Encyclopedia of Mathematics and its Applications, Series Number 118)

Synopsis

This book focuses on the asymptotic behavior 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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About the Authors

Alexander Borovkov works at the Sobolev Institute of Mathematics in Novosibirsk.

Konstantin Borovkov is a staff member in the Department of Mathematics and Statistics at the University of Melbourne.

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Hardcover. Condition: new. Hardcover. This book focuses on the asymptotic behavior 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. 'Heavy-tailed' distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as 'large deviations' of random walks - computing probabilities of such events is essential. This monograph presents a unified systematic exposition of the large deviations theory for heavy-tailed random walks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521881173

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Borovkov, A. A./ Borovkov, K. A./ Borovkova, O. B. (Translator)
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Hardcover. Condition: new. Hardcover. This book focuses on the asymptotic behavior 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. 'Heavy-tailed' distributions describe claim sizes in insurance, losses in finance, and more. In many applications, critically important events can be represented as 'large deviations' of random walks - computing probabilities of such events is essential. This monograph presents a unified systematic exposition of the large deviations theory for heavy-tailed random walks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521881173

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