Fitting Log-Gaussian Cox Processes Using Generalized Additive Model Software.

While log-Gaussian Cox process regression models are useful tools for modeling point patterns, they can be technically difficult to fit and require users to learn/adopt bespoke software. We show that, for suitably formatted data, we can actually fit these models using generalized additive model soft...

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Detalles Bibliográficos

Publicado en:	American Statistician Vol. 78; no. 4; pp. 418 - 426
Autores principales:	Dovers, Elliot, Stoklosa, Jakub, Warton, David I.
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Nov2024
Materias:	Random fields Computer software quality control Point processes Regression analysis Research personnel Gaussian processes
Acceso en línea:	Ver este registro en EBSCOhost