A spatial functional count model for heterogeneity analysis in time
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https://doi.org/10.1007/s00477-020-01951-5 |
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Título
A spatial functional count model for heterogeneity analysis in timeFecha de publicación
2021Editor
SpringerISSN
1436-3240; 1436-3259Cita bibliográfica
TORRES-SIGNES, Antoni, et al. A spatial functional count model for heterogeneity analysis in time. Stochastic Environmental Research and Risk Assessment, 2021, p. 1-25Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007%2Fs00477-020-01951-5Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based ... [+]
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity analysis in time, and spectral analysis in space. Specifically, model fitting is achieved by minimising the information divergence or relative entropy between the multiscale model underlying the data, and the corresponding candidates in the spatial spectral domain. A simulation study is carried out within the family of log-Gaussian Spatial Autoregressive ℓ2-valued processes (SARℓ2 processes) to illustrate the asymptotic properties of the proposed spatial functional estimators. We apply our modelling strategy to spatiotemporal prediction of respiratory disease mortality. [-]
Publicado en
Stochastic Environmental Research and Risk Assessment, 2021, p. 1-25Entidad financiadora
Ministry of Knowledge Economy | Consejo de Economía y Conocimiento de la Junta de Andalucía, España
Código del proyecto o subvención
A-FQM-345-UGR18 | PGC2018-099549-B-I00 | PID2019-107392RB-100
Derechos de acceso
© Springer-Verlag GmbH Germany, part of Springer Nature 2021
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info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
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