Case Studies in Spatial Point Process Modeling

DOI10.1007/0-387-31144-0OpenAlexW1538630842MaRDI QIDQ5445927

Stephen J. Eglen, John B. Troy, Peter J. Diggle

Publication date: 6 March 2008

Published in: Lecture Notes in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/0-387-31144-0

zbMATH Keywords

Monte-Carlo methodslikelihood-based inferencebivariate pairwise interaction processescholinergic amacrine cells

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Spatial Cox processes in an infinite-dimensional framework ⋮ Particle gradient descent model for point process generation ⋮ Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms ⋮ A Bayesian mark interaction model for analysis of tumor pathology images ⋮ Statistical reconstruction of random point patterns ⋮ Including covariates in a space-time point process with application to seismicity ⋮ Random partition models and complementary clustering of Anglo-Saxon place-names

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