Adjusted composite likelihood ratio test for spatial Gibbs point processes

© 2015 Taylor & Francis We investigate an analogue of the likelihood ratio test for spatial Gibbs point process models fitted by maximum pseudolikelihood or maximum composite likelihood. The test statistic must be adjusted in order to obtain an asymptotic (Formula presented.) distribution under...

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Main Authors: Baddeley, Adrian, Turner, R., Rubak, E.
Format: Journal Article
Published: 2015
Online Access:https://vbn.aau.dk/en/publications/adjusted-composite-likelihood-ratio-test-for-spatial-gibbs-point-
http://hdl.handle.net/20.500.11937/35832
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author Baddeley, Adrian
Turner, R.
Rubak, E.
author_facet Baddeley, Adrian
Turner, R.
Rubak, E.
author_sort Baddeley, Adrian
building Curtin Institutional Repository
collection Online Access
description © 2015 Taylor & Francis We investigate an analogue of the likelihood ratio test for spatial Gibbs point process models fitted by maximum pseudolikelihood or maximum composite likelihood. The test statistic must be adjusted in order to obtain an asymptotic (Formula presented.) distribution under the null hypothesis. Adjustments developed for composite likelihoods of finite systems of random variables are adapted to the point process setting. Recent results in point process theory are used to estimate the composite information J and sensitivity H from the point pattern data. In a large simulation experiment we find that the proposed test is exact if J and H are known exactly; it is slightly conservative when J and H are estimated from the data.
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institution Curtin University Malaysia
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publishDate 2015
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spelling curtin-20.500.11937-358322022-09-01T09:08:07Z Adjusted composite likelihood ratio test for spatial Gibbs point processes Baddeley, Adrian Turner, R. Rubak, E. © 2015 Taylor & Francis We investigate an analogue of the likelihood ratio test for spatial Gibbs point process models fitted by maximum pseudolikelihood or maximum composite likelihood. The test statistic must be adjusted in order to obtain an asymptotic (Formula presented.) distribution under the null hypothesis. Adjustments developed for composite likelihoods of finite systems of random variables are adapted to the point process setting. Recent results in point process theory are used to estimate the composite information J and sensitivity H from the point pattern data. In a large simulation experiment we find that the proposed test is exact if J and H are known exactly; it is slightly conservative when J and H are estimated from the data. 2015 Journal Article http://hdl.handle.net/20.500.11937/35832 10.1080/00949655.2015.1044530 https://vbn.aau.dk/en/publications/adjusted-composite-likelihood-ratio-test-for-spatial-gibbs-point- http://purl.org/au-research/grants/arc/DP130102322 http://purl.org/au-research/grants/arc/DP130104470 unknown
spellingShingle Baddeley, Adrian
Turner, R.
Rubak, E.
Adjusted composite likelihood ratio test for spatial Gibbs point processes
title Adjusted composite likelihood ratio test for spatial Gibbs point processes
title_full Adjusted composite likelihood ratio test for spatial Gibbs point processes
title_fullStr Adjusted composite likelihood ratio test for spatial Gibbs point processes
title_full_unstemmed Adjusted composite likelihood ratio test for spatial Gibbs point processes
title_short Adjusted composite likelihood ratio test for spatial Gibbs point processes
title_sort adjusted composite likelihood ratio test for spatial gibbs point processes
url https://vbn.aau.dk/en/publications/adjusted-composite-likelihood-ratio-test-for-spatial-gibbs-point-
https://vbn.aau.dk/en/publications/adjusted-composite-likelihood-ratio-test-for-spatial-gibbs-point-
https://vbn.aau.dk/en/publications/adjusted-composite-likelihood-ratio-test-for-spatial-gibbs-point-
http://hdl.handle.net/20.500.11937/35832