Stochastic Analysis for Poisson Point Processes

This book PDF is perfect for those who love Mathematics genre, written by Giovanni Peccati and published by Springer which was released on 07 July 2016 with total hardcover pages 346. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Analysis for Poisson Point Processes books below.

Stochastic Analysis for Poisson Point Processes
Author : Giovanni Peccati
File Size : 44,6 Mb
Publisher : Springer
Language : English
Release Date : 07 July 2016
ISBN : 9783319052335
Pages : 346 pages
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Stochastic Analysis for Poisson Point Processes by Giovanni Peccati Book PDF Summary

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.

Stochastic Analysis for Poisson Point Processes

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

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Stochastic Point Processes

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Point Processes

There has been much recent research on the theory of point processes, i.e., on random systems consisting of point events occurring in space or time. Applications range from emissions from a radioactive source, occurrences of accidents or machine breakdowns, or of electrical impluses along nerve fibres, to repetitive point

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Poisson Point Processes and Their Application to Markov Processes

An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. Feller, K. Itô, and H. P. McKean, among others. In this book, Itô discussed a case of a general Markov process with state space S and

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"Poisson Point Processes provides an overview of non-homogeneous and multidimensional Poisson point processes and their numerous applications. Readers will find constructive mathematical tools and applications ranging from emission and transmission computed tomography to multiple target tracking and distributed sensor detection, written from an engineering perspective. A valuable discussion of the

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