Ambit Stochastics

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Éditeur :

Springer


Collection :

Probability Theory and Stochastic Modelling

Paru le : 2018-11-01

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Description

Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This monograph, the first on the subject, provides a reference for this burgeoning field, complete with the applications that have driven its development.
Unique to Ambit Stochastics are ambit sets, which allow the delimitation of space-time to a zone of interest, and ambit fields, which are particularly well-adapted to modelling stochastic volatility or intermittency. These attributes lend themselves notably to applications in the statistical theory of turbulence and financial econometrics. In addition to the theory and applications of Ambit Stochastics, the book also contains new theory on the simulation of ambit fields and a comprehensive stochastic integration theory for Volterra processes in a non-semimartingale context.
Written by pioneers in the subject, this book will appeal to researchers and graduate students interested in empirical stochastic modelling.
Pages
402 pages
Collection
Probability Theory and Stochastic Modelling
Parution
2018-11-01
Marque
Springer
EAN papier
9783319941288
EAN PDF
9783319941295

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
7096 Ko
Prix
126,59 €
EAN EPUB
9783319941295

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
33352 Ko
Prix
126,59 €