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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| Published in: | Japanese journal of statistics and data science Vol. 3; no. 1; pp. 367 - 390 |
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| Format: | Journal Article |
| Language: | English |
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01.06.2020
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| ISSN: | 2520-8756, 2520-8764 |
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| Abstract | 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 restoration method; namely, the numbers of parents and their locations are estimated from simulated datasets of Thomas process or its multi-type process; and the Metropolis’ simulation of parent locations are well performed from their posterior distributions. Then, we further apply the models to three real datasets of plant ecology, volcano swarms, and inland shallow micro-earthquakes. However, in the latter two cases, a preliminary analysis by the pairwise correlation suggests that the classical second-order moment relationship between the ordinary Thomas process and the Palm intensity cannot be applicable. Therefore, alternative method is implemented by applying a Bayesian selection of the optimal number of parents; which is searched by maximizing the marginal likelihood (integrated posterior) by numerically performing the high-dimensional integration with respective to the location coordinates of the parents. Then, the optimal posterior distribution of the selected model provides the image of likely locations of parents. |
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| AbstractList | 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 restoration method; namely, the numbers of parents and their locations are estimated from simulated datasets of Thomas process or its multi-type process; and the Metropolis’ simulation of parent locations are well performed from their posterior distributions. Then, we further apply the models to three real datasets of plant ecology, volcano swarms, and inland shallow micro-earthquakes. However, in the latter two cases, a preliminary analysis by the pairwise correlation suggests that the classical second-order moment relationship between the ordinary Thomas process and the Palm intensity cannot be applicable. Therefore, alternative method is implemented by applying a Bayesian selection of the optimal number of parents; which is searched by maximizing the marginal likelihood (integrated posterior) by numerically performing the high-dimensional integration with respective to the location coordinates of the parents. Then, the optimal posterior distribution of the selected model provides the image of likely locations of parents. |
| Author | Ogata, Yosihiko |
| Author_xml | – sequence: 1 givenname: Yosihiko surname: Ogata fullname: Ogata, Yosihiko email: ogata@ism.ac.jp organization: The Institute of Statistical Mathematics |
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| Cites_doi | 10.1111/1467-9574.00144 10.1111/j.1467-9574.1996.tb01501.x 10.1007/BF01436624 10.1029/2009TC002626 10.1002/bimj.4710380302 10.1111/1467-9876.00420 10.1007/BF01406511 10.1111/1467-9469.00115 10.1137/0222066 10.1111/1467-842X.00154 10.1093/biomet/36.1-2.18 10.1002/bimj.200610339 10.1080/00288306.1966.10422815 10.1063/1.1699114 10.1093/biomet/57.1.97 10.1093/biomet/82.4.711 10.2307/2334515 10.1111/j.1541-0420.2006.00667.x 10.1111/j.2517-6161.1984.tb01322.x 10.1007/978-1-4612-1694-0_24 10.1007/s10463-012-0376-7 10.1239/jap/1085496602 10.1111/j.2517-6161.1977.tb01615.x 10.1111/j.2517-6161.1970.tb00814.x 10.1002/9781119115151 10.1007/BF00050670 10.1016/0378-3758(95)00067-4 10.1007/s10463-013-0431-z 10.1007/BF00049299 10.1111/j.1467-9469.2007.00569.x 10.1111/j.2517-6161.1958.tb00272.x 10.1111/j.2517-6161.1992.tb01443.x |
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| Keywords | Metropolis’ simulation procedure Multi-type clusters Thomas models Neyman–Scott process Palm likelihood function Markov Chain Monte Carlo integration Palm intensity function |
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| Title | Cluster analysis of spatial point patterns: posterior distribution of parents inferred from offspring |
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