Zobrazeno 1 - 10
of 31
pro vyhledávání: '"A Torres-Signes"'
Fr\'echet global regression is extended to the context of Riemannian--manifold--valued bivariate curve data correlated in time. Specifically, our Fr\'echet predictor is the minimizer of a weighted $L^{2}$--energy function. We restrict our attention t
Externí odkaz:
http://arxiv.org/abs/2208.12585
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 spe
Externí odkaz:
http://arxiv.org/abs/2010.03827
A multiple objective space-time forecasting approach is presented involving cyclical curve log-regression, and multivariate time series spatial residual correlation analysis. Specifically, the mean quadratic loss function is minimized in the framewor
Externí odkaz:
http://arxiv.org/abs/2008.06344
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 spectra
Externí odkaz:
http://arxiv.org/abs/1811.11139
This paper introduces a new modeling framework for the statistical analysis of point patterns on a manifold M_d , defined by a connected and compact two–point homogeneous space, including the special case of the sphere. The presented approach is ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8346d6738aca05653c8cbffd8c34af95
https://doi.org/10.21203/rs.3.rs-2186006/v1
https://doi.org/10.21203/rs.3.rs-2186006/v1
Publikováno v:
TEST. 31:175-203
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 spectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b0935ef650d852bfc6b987ae9df4513
https://doi.org/10.1007/s11749-021-00773-z
https://doi.org/10.1007/s11749-021-00773-z
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 35:1825-1849
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 spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2507120bd924f8705a56f28d424a8ada
https://doi.org/10.1007/s00477-020-01951-5
https://doi.org/10.1007/s00477-020-01951-5
Akademický článek
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A multiple objective space-time forecasting approach is presented involving cyclical curve log-regression, and multivariate time series spatial residual correlation analysis. Specifically, the mean quadratic loss function is minimized in the framewor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01be45aab9033593cbed70c12154efb8
https://doi.org/10.21203/rs.3.rs-158858/v1
https://doi.org/10.21203/rs.3.rs-158858/v1
Autor:
Torres Signes, Antoni
Publikováno v:
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Universidad de Granada (UGR)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
The application of techniques for the analysis of functional data correlated in time and/or space is a relatively recent area of research, where a number of problems have arisen and remain open. In particular, the derivation of probabilistic (point p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0cd73607d41d18d3899f7ff1991c85bf
http://hdl.handle.net/10481/69093
http://hdl.handle.net/10481/69093