1st Edition
Stochastic Geometry Likelihood and Computation
418 Pages
by
Chapman & Hall
408 Pages
by
Routledge
Also available as eBook on:
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... Read more
Preface
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
Index
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
Index
Biography
O.E. Barndorff-Nielsen Professor of Theoretical Statistics Institute of Mathematics Aarhus Denmark. W.S. Kendall Professor of Statistics University of Warwick UK and M.N.M. van Lieshout Centre for Science and Information (CWI) Amsterdam The Netherlands
"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
