Stochastic Geometry : Likelihood and Computation PDF
Edited by Wilfrid S. Kendall
Part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
Description
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 themeso considerations of geometric sampling bias issueso tesselationso shapeo random setso image analysiso spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
Information
-
Download - Immediately Available
- Format:PDF
- Pages:408 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:10/06/2019
- Category:
- ISBN:9781351413725
Information
-
Download - Immediately Available
- Format:PDF
- Pages:408 pages
- Publisher:Taylor & Francis Ltd
- Publication Date:10/06/2019
- Category:
- ISBN:9781351413725
