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|a 10.1080/02664763.2023.2207786
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|a eng
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|a Choiruddin, Achmad
|e verfasserin
|4 aut
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|a kppmenet
|b combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates
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|c 2024
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|a Text
|b txt
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Revised 04.05.2024
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2023 Informa UK Limited, trading as Taylor & Francis Group.
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|a The kppm is a standard procedure to estimate the parameters of the inhomogeneous Cox point process. However, the procedure cannot handle the problem when the models involve correlated covariates. In this study, we develop the kppmenet, the modified version of the kppm, for the inhomogeneous Cox point process involving correlated covariates by considering elastic net regularization. We compare the methodology in a simulation study and apply it to model major-shallow earthquake distribution in Sumatra, Indonesia. We conclude that the kppmenet outperforms kppm when correlated covariates are involved
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|a Journal Article
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|a Earthquake modelling
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| 650 |
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|a lasso
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|a natural disaster
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| 650 |
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|a spatial point process
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| 700 |
1 |
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|a Yuni Susanto, Tabita
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Husain, Ahmad
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mega Kartikasari, Yuniar
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 51(2024), 5 vom: 24., Seite 993-1006
|w (DE-627)NLM098188178
|x 0266-4763
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| 773 |
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|g volume:51
|g year:2024
|g number:5
|g day:24
|g pages:993-1006
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|u http://dx.doi.org/10.1080/02664763.2023.2207786
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