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Research has generated a number of advances in methods for spatial cluster modelling in recent years, particularly in the area of Bayesian cluster modelling. Along with these advances has come an explosion of interest in the potential applications of this work, especially in epidemiology and genome research.
In one integrated volume, this b
Table of Contents
Spatial Cluster Modelling: An Overview. POINT PROCESS CLUSTER MODELLING: Significance in Scale-Space for Clustering. Statistical Inference for Cox Processes. Extrapolating and Interpolating Spatial Patterns. Perfect Sampling for Point Process Cluster Modelling. Bayesian Estimation and Segmentation of Spatial Point Processes Using Voronoi Tilings. SPATIAL PROCESS CLUSTER MODELLING: Partition Modelling. Cluster Modelling for Disease Rate Mapping. Analyzing Spatial Data Using Skew-Gaussian Processes. Accounting for Absorption Lines In Images Obtained With The Chandra X-Ray Observatory. Spatial Modelling of Count Data: A Case Study in Modelling Breeding Bird Survey Data on Large Spatial Domains. SPATIO-TEMPORAL CLUSTER MODELLING: Modelling Strategies for Spatial-Temporal Data. Spatio-Temporal Partition Modelling: An Example FROM Neurophysiology. Spatio-Temporal Cluster Modelling of Small Area Health Data. References. Index. Author Index.
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