
Levy Processes and Infinitely Divisible Distributions
Ken-iti Sato(Author)
Cambridge University Press
2nd Edition
Published on 19. December 2013
Book
Paperback/Softback
536 pages
978-1-107-65649-9 (ISBN)
Description
Levy processes are rich mathematical objects and constitute perhaps the most basic class of stochastic processes with a continuous time parameter. This book is intended to provide the reader with comprehensive basic knowledge of Levy processes, and at the same time serve as an introduction to stochastic processes in general. No specialist knowledge is assumed and proofs are given in detail. Systematic study is made of stable and semi-stable processes, and the author gives special emphasis to the correspondence between Levy processes and infinitely divisible distributions. All serious students of random phenomena will find that this book has much to offer. Now in paperback, this corrected edition contains a brand new supplement discussing relevant developments in the area since the book's initial publication.
Reviews / Votes
'... an important monograph which should find a place on the bookshelf of any practising probabilist.' David Applebaum, Mathematical GazetteMore details
Series
Edition
2nd Revised edition
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 29 mm
Weight
767 gr
ISBN-13
978-1-107-65649-9 (9781107656499)
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Schweitzer Classification
Other editions
Additional editions

Book
11/1999
Cambridge University Press
€191.40
Shipment within 15-20 days
Previous edition

Book
11/1999
Cambridge University Press
€191.40
Shipment within 15-20 days
Person
Ken-iti Sato is Professor Emeritus at Nagoya University, Japan.
Content
Preface to the revised edition; Remarks on notation; 1. Basic examples; 2. Characterization and existence; 3. Stable processes and their extensions; 4. The Levy-Ito decomposition of sample functions; 5. Distributional properties of Levy processes; 6. Subordination and density transformation; 7. Recurrence and transience; 8. Potential theory for Levy processes; 9. Wiener-Hopf factorizations; 10. More distributional properties; Supplement; Solutions to exercises; References and author index; Subject index.