Stochastic Geometry: Likelihood and Computation FROM THE PUBLISHER
Stochastic geometry concerns 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 will provide lasting value as basic reference, equally valuable to young researchers, to established research scientists in the area, and the increasing number of mathematical scientists working other areas who research needs are now driving the development of stochastic geometry.
FROM THE CRITICS
Booknews
Presents the revised versions of the main papers given at the third Seminaire Europeen de Statistique held in Toulouse, May 1996. Topics include sampling and censoring, likelihood inference for spatial point processes, Johnson- Mehl and Voronoi tesselations, mathematical morphology, random closed sets, general shape and registration analysis, and Nash inequalities. Annotation c. by Book News, Inc., Portland, Or.
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