Stochastic Analysis for Poisson Point Processes - Malliavin Calculus, Wiener-Ito Chaos Expansions and Stochastic Geometry (Paperback, Softcover reprint of the original 1st ed. 2016)

Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics. Due to its close ties with stereology and spatial statistics, the results in this area are relevant for a large number of important applications, e.g. to the mathematical modeling and statistical analysis of telecommunication networks, geostatistics and image analysis. In recent years - due mainly to the impetus of the authors and their collaborators - a powerful connection has been established between stochastic geometry and the Malliavin calculus of variations, which is a collection of probabilistic techniques based on the properties of infinite-dimensional differential operators. This has led in particular to the discovery of a large number of new quantitative limit theorems for high-dimensional geometric objects. This unique book presents an organic collection of authoritative surveys written by the principal actors in this rapidly evolving field, offering a rigorous yet lively presentation of its many facets.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Bocconi & Springer Series, 7
Release date:	May 2018
First published:	2016
Editors:	Giovanni Peccati • Matthias Reitzner
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	346
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-79147-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Geometry > General Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	3-319-79147-8
Barcode:	9783319791470

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