Listar por autor "Frías, María P."
Mostrando ítems 1-7 de 7
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A spatial functional count model for heterogeneity analysis in time
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal logGaussian Cox process model. Our spatial functional estimation approach handles both wavelet-based heterogeneity ... -
Asymptotic properties of parameter estimates for random fields with tapered data.
Alomari, Huda Mohammed; Frías, María P.; Leonenko, Nikolai; Ruiz-Medina, María D.; Sakhno, Lyudmyla; Torres-Signes, Antoni
[et al.] (Institute of Mathematical Statistics, 2017)
In this paper we present novel results on the asymptotic behavior of the so-called Ibragimov minimum contrast estimates. The case of tapered data for various models of Gaussian random fields is investigated. The CLT for ... -
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning.
Torres-Signes, Antoni; Frías, María P.; Ruiz-Medina, María D. (2021-03-19)
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 ... -
Log-Gaussian Cox Process in Infinite-Dimensional Spaces.
Torres-Signes, Antoni; Frías, María P.; Ruiz-Medina, María D. (American Mathematical Society, 2018)
This paper introduces new results on doubly stochastic Poisson processes, with log-Gaussian Hilbert-valued random intensity (LGHRI), defined from the Ornstein-Uhlenbeck process (O-U process) in Hilbert spaces. Sufficient ... -
Point pattern analysis and classification on compact two-point homogeneous spaces evolving time.
Frías, María P.; Torres-Signes, Antoni; Ruiz-Medina, María D. (2023-02-14)
This paper introduces a new modeling framework for the statistical analysis of point patterns on a manifold Md; defined by a connected and compact two-point homogeneous space, including the special case of the sphere. The ... -
Random sets on manifolds under an infinite–dimensional Log–Gaussian Cox process approach.
Frías, María P.; Torres-Signes, Antoni; Ruiz-Medina, María D. (Edicions i Publicacions de la Universitat de Lleida, 2022)
A new framework is introduced in this paper for modeling and statistical analysis of point sets in a manifold, that randomly arise through time. Specifically, in the characterization of these sets, the random counting ... -
Spatial Cox processes in an infinite-dimensional framework
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, ...