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03/16/2023
Testing the goodness of fit of a hilbertian autoregressive model
The presented methodology for testing the goodness-of-fit of an Autoregr...
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12/23/2022
Macroscale structural complexity analysis of subordinated spatiotemporal random fields
Large-scale behavior of a wide class of spatial and spatiotemporal proce...
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10/20/2022
Point pattern analysis and classification on compact two-point homogeneous spaces evolving time
This paper introduces a new modeling framework for the statistical analy...
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08/26/2022
Multivariate manifold-valued curve regression in time
Fréchet global regression is extended to the context of bivariate curve ...
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10/30/2021
Bayesian surface regression versus spatial spectral nonparametric curve regression
COVID-19 incidence is analyzed at the provinces of some Spanish Communit...
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10/08/2020
A spatial functional count model for heterogeneity analysis in time
A spatial curve dynamical model framework is adopted for functional pred...
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08/07/2020
Spatiotemporal Prediction of COVID–19 Mortality and Risk Assessment
This paper presents a multivariate functional data statistical approach,...
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11/27/2018
Spatial log-Gaussian Cox processes in Hilbert spaces
A new class of spatial log-Gaussian Cox processes in function spaces is ...
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08/15/2018
A note on strong-consistency of componentwise ARH(1) predictors
New results on strong-consistency, in the Hilbert-Schmidt and trace oper...
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08/05/2018
Dynamical multiple regression in function spaces, under kernel regressors, with ARH(1) errors
A linear multiple regression model in function spaces is formulated, und...
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01/26/2018
