Statistical Inference and Simulation for Spatial Point Processes
Reid, N. (Series edited by)/ Isham, Valerie (Series edited by)/ Tibshirani, R.J. (Series edited by)/ Louis, Thomas A. (Series edited by)/ Tong, Howell (Series edited by)/ Keiding, Niels (Series edited by)/ Moller, Jesper (Author)/ Waagepetersen, Rasmus Plenge (Author)
ISBN 10: 1584882654 ISBN 13: 9781584882657
Published by CRC Pr I Llc, 2003
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1st edition. 312 pages. 9.00x6.00x0.75 inches. In Stock. Seller Inventory # __1584882654
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Spatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the classical literature deals only with nonparametric methods, and a thorough treatment of the theory and applications of simulation-based inference is difficult to find. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications. The authors examine Markov chain Monte Carlo algorithms and explore one of the most important recent developments in MCMC: perfect simulation procedures.
About the Author: Jesper Moller
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Title: Statistical Inference and Simulation for ...
Publisher: CRC Pr I Llc
Publication Date: 2003
Binding: Hardcover
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STATISTICAL INFERENCE AND SIMULATION FOR SPATIAL POINT PROCESSES (MONOGRAPHS ON STATISTICS AND APPLIED PROBABILITY ; 100)
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Statistical Inference and Simulation for Spatial Point Processes
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Statistical Inference and Simulation for Spatial Point Processes (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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Condition: New. Jesper MollerSpatial point processes play a fundamental role in spatial statistics and today they are an active area of research with many new applications. Although other published works address different aspects of spatial point processes, most of the. Seller Inventory # 23086181
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