Adaptive LASSO estimation for functional hidden dynamic geostatistical models

We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models employ a classic mixed-effect regression structure with embedded spatiotemporal dynamics to model georeferenced data observ...

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Detalles Bibliográficos
Autores principales: Maranzano, Paolo, Otto, Philipp, Fassò, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189237/
https://www.ncbi.nlm.nih.gov/pubmed/37362848
http://dx.doi.org/10.1007/s00477-023-02466-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189237/
https://www.ncbi.nlm.nih.gov/pubmed/37362848
http://dx.doi.org/10.1007/s00477-023-02466-5

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