Stochastic geometry, spatial statistics and random fields : asymptotic methods / Evgeny Spodarev, editor
Type de document : CongrèsCollection : Lecture notes in mathematics, 2068Langue : anglais.Pays: Allemagne.Éditeur : Berlin : Springer, cop. 2013Description : 1 vol. (XXIV-446 p.) : fig. ; 24 cmISBN: 9783642333040.ISSN: 0075-8434.Bibliographie : Bibliogr. p. 420-440. Index.Sujet MSC : 60-06, Proceedings, conferences, collections, etc. pertaining to probability theory60D05, Geometric probability and stochastic geometry
60G60, Probability theory and stochastic processes, Random fields
62M30, Statistics - Inference from stochastic processes, Inference from spatial processesEn-ligne : Springerlink | Zentralblatt
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Congrès
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CMI Salle 1 | 60-06 SPO (Browse shelf(Opens below)) | Available | 12181-01 |
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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