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Fluctuation Theory for Lévy Processes - Ecole d'Eté de Probabilités de Saint-Flour XXXV - 2005

English · Paperback / Softback

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Description

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Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems. Such problems, and also some related distributional problems, are addressed in detail in these notes that reflect the content of the course given by R. Doney in St. Flour in 2005.

List of contents

to Lévy Processes.- Subordinators.- Local Times and Excursions.- Ladder Processes and the Wiener-Hopf Factorisation.- Further Wiener-Hopf Developments.- Creeping and Related Questions.- Spitzer's Condition.- Lévy Processes Conditioned to Stay Positive.- Spectrally Negative Lévy Processes.- Small-Time Behaviour.

Summary

Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems. Such problems, and also some related distributional problems, are addressed in detail in these notes that reflect the content of the course given by R. Doney in St. Flour in 2005.

Product details

Authors Ronald A Doney, Ronald A. Doney
Assisted by Jea Picard (Editor), Jean Picard (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 23.02.2011
 
EAN 9783540485100
ISBN 978-3-540-48510-0
No. of pages 155
Dimensions 158 mm x 232 mm x 11 mm
Weight 454 g
Illustrations IX, 155 p.
Series Lecture Notes in Mathematics
École d'Été de Probabilités de Saint-Flour
Lecture Notes in Mathematics
École d'Été de Probabilités de Saint-Flour
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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