Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Lévy Processes and Infinitely Divisible Distributions

Lévy Processes and Infinitely Divisible Distributions

Lévy Processes and Infinitely Divisible Distributions

Ken-iti Sato, Nagoya University, Japan
November 1999
Hardback
9780521553025
£135.00
GBP
Hardback

    Lévy 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 Lévy 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 Lévy processes and infinitely divisible distributions. All serious students of random phenomena will find that this book has much to offer.

    • Overflowing with exercises
    • Suitable as a text or for self-teaching
    • Unique treatment of important topic

    Reviews & endorsements

    '… an important monograph which should find a place on the bookshelf of any practising probabilist.' David Applebaum, Mathematical Gazette

    See more reviews

    Product details

    November 1999
    Hardback
    9780521553025
    500 pages
    237 × 158 × 32 mm
    0.805kg
    Available

    Table of Contents

    • Preface
    • Remarks on notation
    • 1. Basic examples
    • 2. Characterization and existence of Lévy and additive processes
    • 3. Stable processes and their extensions
    • 4. The Lévy-Itô decomposition of sample functions
    • 5. Distributional properties of Lévy processes
    • 6. Subordination and density transformation
    • 7. Recurrence and transience
    • 8. Potential theory for Lévy processes
    • 9. Wiener-Hopf factorizations
    • 10. More distributional properties
    • Solutions to exercises
    • References and author index
    • Subject index.
    Resources for
    Type