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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Spodarev, Evgeny (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Lecture Notes in Mathematics, 2068
Temas:
Convex geometry .
Discrete geometry.
Probabilities.
Statistics .
Convex and Discrete Geometry.
Probability Theory.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares