Stochastic Geometry, Spatial Statistics and Random Fields : Asymptotic Methods
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, field...
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| Korporativna značnica: | |
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| Drugi avtorji: | , |
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2013. |
| Serija: | Lecture Notes in Mathematics
2068 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
L'impression du document génère 469 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic geometry, spatial statistics and random fields, asymptotic methods, Evgeny Spodarev, editor, Heidelberg, Springer, 2013, 1 vol. (XXIV-446 p.), Lecture notes in mathematics, 978-3-642-33304-0 • Stochastic geometry, spatial statistics and random fields, asymptotic methods, Evgeny Spodarev, editor, Heidelberg, Springer, 2013, 1 vol. (XXIV-446 p.), Lecture notes in mathematics, 978-3-642-33304-0 • Stochastic Geometry, Spatial Statistics and Random Fields, Texte imprimé, 9783642333064 |
Kazalo:
- 1 Foundations of stochastic geometry and theory of random sets 2 Introduction into integral geometry and stereology 3 Spatial point patterns models and statistics 4 Asymptotic methods in statistics of random point processes 5 Random tessellations and Cox processes 6 Asymptotic methods for random tessellations 7 Random polytopes 8 Limit theorems in discrete stochastic geometry 9 Introduction to random fields 10 Central limit theorems for weakly dependent random fields 11 Strong limit theorems for increments of random fields 12 Geometry of large random trees: SPDE approximation