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Statistical Inference and Simulation for Spatial Point Processes
Jesper MollerRasmus Plenge Waagepetersen
出版CRC Press, 2003-09-25
主題Mathematics / Probability & Statistics / GeneralMathematics / Probability & Statistics / Bayesian AnalysisScience / Earth Sciences / Geology
ISBN02034969309780203496930
URLhttp://books.google.com.hk/books?id=dBNOHvElXZ4C&hl=&source=gbs_api
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註釋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.