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• W3042736700 abstract "We introduce a new class of spatial Cox processes driven by a Hilbert--valued random log--intensity. We adopt a parametric framework in the spectral domain, to estimate its spatial functional correlation structure. Specifically, we consider a spectral functional, based on the periodogram operator, inspired on Whittle estimation methodology. Strong-consistency of the parametric estimator is proved in the linear case. We illustrate this property in a simulation study under a Gaussian first order Spatial Autoregressive Hilbertian scenario for the log--intensity model. Our method is applied to the spatial functional prediction of respiratory disease mortality in the Spanish Iberian Peninsula, in the period 1980--2015." @default.
• W3042736700 created "2020-07-23" @default.
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• W3042736700 date "2018-11-27" @default.
• W3042736700 modified "2023-10-13" @default.
• W3042736700 title "Spatial Cox processes in an infinite-dimensional framework" @default.
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• W3042736700 doi "https://doi.org/10.48550/arxiv.1811.11139" @default.
• W3042736700 hasPublicationYear "2018" @default.
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