Lévy processes

Lévy processes

by Bertoin, Jean

Type Book
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This is an up-to-date and comprehensive account of the theory of Levy processes. This branch of modern probability theory has been developed over recent years and has many applications in such areas as queues, mathematical finance and risk estimation. Professor Bertoin has used the powerful interplay between the probabilistic structure (independence and stationarity of the increments) and analytic tools (especially Fourier and Laplace transforms) to give a quick and concise treatment of the cor…

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Title Statements

  • Full title :Lévy processes / Jean Bertoin.

Summary

This is an up-to-date and comprehensive account of the theory of Levy processes. This branch of modern probability theory has been developed over recent years and has many applications in such areas as queues, mathematical finance and risk estimation. Professor Bertoin has used the powerful interplay between the probabilistic structure (independence and stationarity of the increments) and analytic tools (especially Fourier and Laplace transforms) to give a quick and concise treatment of the core theory, with the minimum of technical requirements. Special properties of subordinators are developed and then appear as key features in the study of the local times of real-valued Levy processes and in fluctuation theory. Levy processes with no positive jumps receive special attention, as do stable processes.

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Edition Statements

  • Publication Date:1996.

Publication Statements

The Physical Object

  • Description:x, 265 pages ; : 24 cm.

Edition Identifiers

  • ISBN:0521562430, 9780521562430, 0521646324, 9780521646321
  • oclc:ocm33970050
  • LC Classification:QA274.73
  • Dewey Decimal:519.2/82

Table of Contents

I. Levy Processes as Markov Processes -- II. Elements of Potential Theory -- III. Subordinators -- IV. Local Time and Excursions of a Markov Process -- V. Local Times of a Levy Process -- VI. Fluctuation Theory -- VII. Levy Processes with no Positive Jumps -- VIII. Stable Processes and the Scaling Property.

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