Wiener Chaos: Moments, Cumulants and Diagrams - A survey with Computer Implementation (Paperback, 2011 ed.)

The concept of Wiener chaos generalizes to an infinite-dimensional setting the properties of orthogonal polynomials associated with probability distributions on the real line. It plays a crucial role in modern probability theory, with applications ranging from Malliavin calculus to stochastic differential equations and from probabilistic approximations to mathematical finance. This book is concerned with combinatorial structures arising from the study of chaotic random variables related to infinitely divisible random measures. The combinatorial structures involved are those of partitions of finite sets, over which Moebius functions and related inversion formulae are defined. This combinatorial standpoint (which is originally due to Rota and Wallstrom) provides an ideal framework for diagrams, which are graphical devices used to compute moments and cumulants of random variables. Several applications are described, in particular, recent limit theorems for chaotic random variables. An Appendix presents a computer implementation in MATHEMATICA for many of the formulae.

General

Imprint:	Springer-Verlag
Country of origin:	Italy
Series:	Bocconi & Springer Series, 1
Release date:	October 2014
First published:	2011
Authors:	Giovanni Peccati • Murad S Taqqu
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	274
Edition:	2011 ed.
ISBN-13:	978-88-470-5604-6
Categories:	Books > Business & Economics > Finance & accounting > General Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Integral equations
LSN:	88-470-5604-7
Barcode:	9788847056046

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