Statistical Inference and Simulation for Spatial Point Processes
Book Details
Format
Hardback or Cased Book
ISBN-10
1584882654
ISBN-13
9781584882657
Publisher
Taylor & Francis Inc
Imprint
Chapman & Hall/CRC
Country of Manufacture
US
Country of Publication
GB
Publication Date
Sep 25th, 2003
Print length
318 Pages
Weight
582 grams
Dimensions
15.70 x 23.30 x 2.30 cms
Product Classification:
Probability & statistics
Ksh 30,600.00
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Emphasising on MCMC methods, this book explores simulation-based inference for spatial point processes. It examines the Cox and Markov point processes. It provides a treatment of MCMC techniques, particularly those related to statistical inference follows.
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.
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