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Tempered Stable Distributions - Stochastic Models for Multiscale Processes

Inglese · Tascabile

Spedizione di solito entro 1 a 2 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni

This brief is concerned with tempered stable distributions and their associated Levy processes. It is a good text for researchers interested in learning about tempered stable distributions. 
A tempered stable distribution is one which takes a stable distribution and modifies its tails to make them lighter. The motivation for this class comes from the fact that infinite variance stable distributions appear to provide a good fit to data in a variety of situations, but the extremely heavy tails of these models are not realistic for most real world applications. The idea of using distributions that modify the tails of stable models to make them lighter seems to have originated in the influential paper of Mantegna and Stanley (1994). Since then, these distributions have been extended and generalized in a variety of ways. They have been applied to a wide variety of areas including mathematical finance, biostatistics,computer science, and physics.

Sommario

Introduction.- Preliminaries.- Tempered Stable Distributions.- Limit Theorems for Tempered Stable Distributions.- Multiscale Properties of Tempered Stable Levy Processes.- Parametric Classes.- Applications .- Epilogue.- References.

Riassunto

This brief is concerned with tempered stable distributions and their associated Levy processes. It is a good text for researchers interested in learning about tempered stable distributions. 
A tempered stable distribution is one which takes a stable distribution and modifies its tails to make them lighter. The motivation for this class comes from the fact that infinite variance stable distributions appear to provide a good fit to data in a variety of situations, but the extremely heavy tails of these models are not realistic for most real world applications. The idea of using distributions that modify the tails of stable models to make them lighter seems to have originated in the influential paper of Mantegna and Stanley (1994). Since then, these distributions have been extended and generalized in a variety of ways. They have been applied to a wide variety of areas including mathematical finance, biostatistics,computer science, and physics.

Testo aggiuntivo

“This is a very nicely written book on tempered stable distributions. The exposition is careful and very readable. … The book will be a very helpful source for researchers working in the area of tempered stable distributions and for all that want to apply them.” (Alexander Lindner, zbMATH 1361.60003, 2017)

Relazione

"This is a very nicely written book on tempered stable distributions. The exposition is careful and very readable. ... The book will be a very helpful source for researchers working in the area of tempered stable distributions and for all that want to apply them." (Alexander Lindner, zbMATH 1361.60003, 2017)

Dettagli sul prodotto

Autori Michael Grabchak
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 10.03.2016
 
EAN 9783319249254
ISBN 978-3-31-924925-4
Pagine 118
Dimensioni 168 mm x 236 mm x 6 mm
Peso 213 g
Illustrazioni XII, 118 p.
Serie SpringerBriefs in Mathematics
Categorie Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica

C, Angewandte Mathematik, Mathematics and Statistics, Applications of Mathematics, Finance & accounting, Probability Theory and Stochastic Processes, Probabilities, Stochastics, Probability Theory, Economics, Mathematical, Quantitative Finance

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