Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring

This manuscript demonstrates an empirical Bayesian estimation of cluster centers (parents) in spatial point pattern. We use the Thomas models on a plane, namely, Neyman–Scott process of a two-dimensional Gaussian-type or its extension to the multi-type species. This manuscript firstly confirms resto...

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Bibliographic Details
Published in:	Japanese journal of statistics and data science Vol. 3; no. 1; pp. 367 - 390
Main Author:	Ogata, Yosihiko
Format:	Journal Article
Language:	English
Published:	Singapore Springer Singapore 01.06.2020
Subjects:	Chemistry and Earth Sciences Computer Science Economics Finance Health Sciences Humanities Insurance Law Management Mathematics and Statistics Medicine Original Paper Physics Statistical Theory and Methods Statistics Statistics and Computing/Statistics Programs Statistics for Business Statistics for Engineering Statistics for Life Sciences Statistics for Social Sciences Metropolis’ simulation procedure Multi-type clusters Thomas models Neyman–Scott process Palm likelihood function Markov Chain Monte Carlo integration Palm intensity function
ISSN:	2520-8756, 2520-8764
Online Access:	Get full text
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