Statistical Inference And Simulation For Spatial Point Processes

Statistical Inference And Simulation For Spatial Point Processes by Jesper Moller. Download it Statistical Inference And Simulation For Spatial Point Processes books also available in PDF, EPUB, and Mobi Format for read it on your Kindle device, PC, phones or tablets. Written by researchers at the top of the field, this book collects and unifies recent theoretical advances and examples of applications.. Click Get Books for free books.

Statistical Inference And Simulation For Spatial Point Processes

Statistical Inference And Simulation For Spatial Point Processes
Author: Jesper Moller
Publisher: CRC Press
ISBN: 9780203496930
Size: 23.59 MB
Format: PDF, Mobi
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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.