Line and point cluster models for spatial health data

DOI10.1016/j.csda.2006.11.039zbMath1445.62274OpenAlexW1986544586WikidataQ57590093 ScholiaQ57590093MaRDI QIDQ1020706

Martin Kulldorff, Corrado Magnani, Silvia Simeon, Annibale Biggeri, Andrew B. Lawson

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.11.039

zbMATH Keywords

spatialmodellingclusteringlinearparametricpoint

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

A fuzzy clustering model for multivariate spatial time series

Cites Work

• Space-time point-process models for earthquake occurrences
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Stochastic Declustering of Space-Time Earthquake Occurrences
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Hierarchical probability models and Bayesian analysis of mine locations
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