Abstract
The (Formula presented.) 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 (Formula presented.), the modified version of the (Formula presented.), 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 (Formula presented.) outperforms (Formula presented.) when correlated covariates are involved.
| Original language | English |
|---|---|
| Pages (from-to) | 993-1006 |
| Number of pages | 14 |
| Journal | Journal of Applied Statistics |
| Volume | 51 |
| Issue number | 5 |
| DOIs |
|
| Publication status | Published - 2024 |
Keywords
- Earthquake modelling
- lasso
- natural disaster
- spatial point process
- spatstat R package
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