Statistical inference and simulation for spatial point...

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Statistical inference and simulation...

Statistical inference and simulation for spatial point processes

Jesper Møller, Rasmus Plenge Waagepetersen

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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.

Kategorien:

Mathematics

Jahr:

2004

Auflage:

Verlag:

Chapman & Hall/CRC

Sprache:

english

Seiten:

295

ISBN 10: