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Renewal Theory For Perturbed Random Walks And Similar Processes 1st Edition Alexander Iksanov Auth

  • SKU: BELL-5696674
Renewal Theory For Perturbed Random Walks And Similar Processes 1st Edition Alexander Iksanov Auth
$ 31.00 $ 45.00 (-31%)

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Renewal Theory For Perturbed Random Walks And Similar Processes 1st Edition Alexander Iksanov Auth instant download after payment.

Publisher: Birkhäuser Basel
File Extension: PDF
File size: 3.09 MB
Pages: 260
Author: Alexander Iksanov (auth.)
ISBN: 9783319491110, 9783319491134, 3319491113, 331949113X
Language: English
Year: 2016
Edition: 1

Product desciption

Renewal Theory For Perturbed Random Walks And Similar Processes 1st Edition Alexander Iksanov Auth by Alexander Iksanov (auth.) 9783319491110, 9783319491134, 3319491113, 331949113X instant download after payment.

This book offers a detailed review of perturbed random walks, perpetuities, and random processes with immigration. Being of major importance in modern probability theory, both theoretical and applied, these objects have been used to model various phenomena in the natural sciences as well as in insurance and finance. The book also presents the many significant results and efficient techniques and methods that have been worked out in the last decade.

The first chapter is devoted to perturbed random walks and discusses their asymptotic behavior and various functionals pertaining to them, including supremum and first-passage time. The second chapter examines perpetuities, presenting results on continuity of their distributions and the existence of moments, as well as weak convergence of divergent perpetuities. Focusing on random processes with immigration, the third chapter investigates the existence of moments, describes long-time behavior and discusses limit theorems, both with and without scaling. Chapters four and five address branching random walks and the Bernoulli sieve, respectively, and their connection to the results of the previous chapters.

With many motivating examples, this book appeals to both theoretical and applied probabilists.

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