Stochastic Geometry

  • David Aldous
Part of the Applied Mathematical Sciences book series (AMS, volume 77)

Abstract

Readers who do not have any particular knowledge of stochastic geometry should be reassured to learn that the author doesn’t, either. This chapter contains problems with a geometric (2-dimensional, mostly) setting which can be solved heuristically without any specialized geometric arguments. One exception is that we will need some properties of the Poisson line process at Section H2: this process is treated in Solomon (1978), which is the friendliest introduction to stochastic geometry.

Keywords

Poisson Process Great Circle Poisson Point Process Stochastic Geometry Random Scatter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • David Aldous
    • 1
  1. 1.Department of StatisticsUniversity of California-BerkeleyBerkeleyUSA

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