Stochastic geometry, spatial statistics and random fields: asymptotic methods / Evgeny Spodarev, editor

Auteur secondaire : Spodarev, Evgenii (1975-) - Editeur scientifiqueType de document: CongrèsCollection: Lecture notes in mathematics ; 2068Langue: anglaisPays: AllemagneÉditeur: Berlin : Springer, cop. 2013Description: 1 vol. (XXIV-446 p.) : fig. ; 24 cm ISBN: 9783642333040 ; br. Note: Regroupe des contributions à la "Summer Academy on stochastic geometry, spatial statistics and random fields" tenue à Söllerhaus, Hirschegg (Autriche) du 13 au 26 septembre 2009.Résumé: This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects. (Source : Springer).Bibliographie: Bibliogr. p. 420-440. Index. Sujets MSC: 60-06 Probability theory and stochastic processes -- Proceedings, conferences, collections, etc
60D05 Probability theory and stochastic processes -- Geometric probability and stochastic geometry -- Geometric probability and stochastic geometry
60G60 Probability theory and stochastic processes -- Stochastic processes -- Random fields
62M30 Statistics -- Inference from stochastic processes -- Spatial processes
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Regroupe des contributions à la "Summer Academy on stochastic geometry, spatial statistics and random fields" tenue à Söllerhaus, Hirschegg (Autriche) du 13 au 26 septembre 2009.

Bibliogr. p. 420-440. Index

This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects. (Source : Springer)

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