Description: The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismology, neuroscience, and genetics. With this monograph, the first to be devoted to the modeling of structured dependence between random processes, the authors not only meet the demand for a solid theoretical account but also develop a stochastic processes counterpart of the classical copula theory that exists for finite-dimensional random variables. Presenting both the technical aspects and the applications of the theory, this is a valuable reference for researchers and practitioners in the field, as well as for graduate students in pure and applied mathematics programs. Numerous theoretical examples are included, alongside examples of both current and potential applications, aimed at helping those who need to model structured dependence between dynamic random phenomena.
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EAN: 9781107154254
UPC: 9781107154254
ISBN: 9781107154254
MPN: N/A
Item Length: 23.4 cm
Number of Pages: 278 Pages
Language: English
Publication Name: Structured Dependence between Stochastic Processes
Publisher: Cambridge University Press
Publication Year: 2020
Subject: Geology, Finance, Biology, Mathematics
Item Height: 240 mm
Item Weight: 600 g
Type: Textbook
Author: Mariusz Nieweglowski, Jacek Jakubowski, Tomasz R. Bielecki
Subject Area: Data Analysis
Series: Encyclopedia of Mathematics and Its Applications
Item Width: 165 mm
Format: Hardcover
