© 2015

Stochastic Geometry, Spatial Statistics and Random Fields

Models and Algorithms

  • Volker Schmidt

Part of the Lecture Notes in Mathematics book series (LNM, volume 2120)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Bartłomiej Błaszczyszyn, Dhandapani Yogeshwaran
    Pages 31-71
  3. Volker Schmidt, Gerd Gaiselmann, Ole Stenzel
    Pages 95-141
  4. Dominique Jeulin
    Pages 143-169
  5. Viktor Beneš, Jakub Stanĕk, Blažena Kratochvílová, Ondřej Šedivý
    Pages 171-203
  6. Viktor Beneš, Michaela Prokešová, Kateřina Staňková Helisová, Markéta Zikmundová
    Pages 205-232
  7. Ulrich Stadtmüller, Marta Zampiceni
    Pages 257-292
  8. Alexander Bulinski
    Pages 293-320
  9. Evgeny Spodarev, Elena Shmileva, Stefan Roth
    Pages 321-368
  10. Dirk P. Kroese, Zdravko I. Botev
    Pages 369-404
  11. Wilfrid S. Kendall
    Pages 405-439
  12. Back Matter
    Pages 441-466

About this book


Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, this volume places a special emphasis on fundamental classes of models and algorithms as well as on their applications, for example in materials science, biology and genetics.
This book has a strong focus on simulations and includes extensive codes in Matlab and R, which are widely used in the mathematical community. It can be regarded as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields were considered, with a focus on asymptotic methods.


60D05,60G55,60G60,62H11,62M40,62P30,62P10. Mathematical Models Random Fields Simulation Algorithms Spatial Statistics Stochastic Geometry

Editors and affiliations

  • Volker Schmidt
    • 1
  1. 1.Institute of StochasticUlm UniversityUlmGermany

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