Stochastic Geometry

Likelihood and Computation

Buch | Hardcover

418 Seiten

1998
Crc Press Inc (Verlag)
978-0-8493-0396-8 (ISBN)

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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

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

Preface. Recent Developments in Stochastic Geometry and Stereology. Markov Chain Monte Carlo Techniques. Markov Chain Monte Carlo and Spatial Point Process. Topics in Voronoi and Johnson-Mehl Tessellations. Mathematical Morphology. Rates of Convergence of Markov Chains. Shape Theory. Random Sets: Results, Problems and Perspectives.

Erscheint lt. Verlag	20.10.1998
Reihe/Serie	Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Gewicht	730 g
Einbandart	gebunden
Themenwelt	Mathematik / Informatik ► Mathematik ► Geometrie / Topologie
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	0-8493-0396-6 / 0849303966
ISBN-13	978-0-8493-0396-8 / 9780849303968
Zustand	Neuware