Stochastic Geometry, Spatial Statistics and Random Fields

Asymptotic Methods

  • Evgeny Spodarev

Part of the Lecture Notes in Mathematics book series (LNM, volume 2068)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Adrian Baddeley
    Pages 49-114
  3. Florian Voss, Catherine Gloaguen, Volker Schmidt
    Pages 151-182
  4. Pierre Calka
    Pages 183-204
  5. Daniel Hug
    Pages 205-238
  6. Alexander Bulinski, Evgeny Spodarev
    Pages 277-335
  7. Alexander Bulinski, Evgeny Spodarev
    Pages 337-383
  8. Ulrich Stadtmüller
    Pages 385-398
  9. Back Matter
    Pages 421-448

About this book

Introduction

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.

Keywords

60D05, 52A22, 60G55, 60G60, 60G57, 60F05, 60F15, 60J25 geometric probability random fields random graphs random sets

Editors and affiliations

  • Evgeny Spodarev
    • 1
  1. 1.UlmGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-33305-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-33304-0
  • Online ISBN 978-3-642-33305-7
  • Series Print ISSN 0075-8434
  • Series Online ISSN 1617-9692
  • About this book