Stochastic Geometry: Likelihood and Computation

by Ole E. Barndorff-Nielsen (Editor), Wilfrid S. Kendall (Editor), M.N.M. Van Lieshout (Editor)

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 Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry,
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

418 pages, Hardcover

First published October 20, 1998

About the author

Ole Eiler Barndorff-Nielsen
O.E. Barndorff-Nielsen