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Stochastic Analysis for Poisson Point Processes Malliavin Calculus, Wiener-Itô Chaos Expansions and Stochastic Geometry

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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.

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Detail Information

Series Title

2 illustrations in colour

Call Number

XV, 346

Publisher

Springer Cham : Springer Cham., 2016

Collation

-

Language

English

ISBN/ISSN

978-3-319-05233-5

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

-

Edition

1

Subject(s)

stochastic analysis
Point processes

Specific Detail Info

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Statement of Responsibility

Giovanni Peccati, Matthias Reitzner

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-319-05233-5

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