Stochastic Geometry: Likelihood and Computation, 1st Edition (Hardback) book cover

Stochastic Geometry

Likelihood and Computation, 1st Edition

Edited by Wilfrid S. Kendall, M.N.M. van Lieshout

Chapman and Hall/CRC

408 pages

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Hardback: 9780849303968
pub: 1998-10-20
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Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including:

o a "crash-course" introduction to key stochastic geometry themes

o considerations of geometric sampling bias issues

o tesselations

o shape

o random sets

o image analysis

o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo


"This useful collection of papers highlights various aspects of modern stochastic geometry. The papers included here provide a rare opportunity to grasp new major trends in stochastic geometry and related areas."

-Mathematical Reviews

Table of Contents


Crash Course in Stochastic Geometry

Sampling and Censoring

Likelihood Inference for Spatial Point Processes

Markov Chain Monte Carlo and Spatial Point Processes

Topics in Voronoi and Johnson-Mehl Tessellations

Mathematical Morphology

Random Closed Sets

General Shape and Registration Analysis

Nash Inequalities


About the Series

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / Bayesian Analysis