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Alfredo Antonio Alegria Jimenez

Professor

Universidad Técnica Federico Santa María

Valparaíso, Chile

Líneas de Investigación


I am interested in the study of space-time random field models. Some of my themes of research are: Covariance Modeling, Fast Simulation Algorithms, Likelihood Approximations, Non-Gaussian Random Fields.

Educación

  •  PhD in Mathematics, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2017
  •  Mathematical Engineer, UNIVERSIDAD TECNICA FEDERICO SANTA MARIA. Chile, 2014

Experiencia Académica

  •   Research Associate Full Time

    UNIVERSITY OF NEWCASTLE UPON TYNE

    Reino Unido

    2017 - 2018

  •   Professor Full Time

    UNIVERSIDAD TECNICA FEDERICO SANTA MARIA

    Chile

    2018 - A la fecha

Experiencia Profesional

  •   Académico Full Time

    Universidad Técnica Federico Santa María

    Valparaíso, Chile

    2018 - A la fecha

  •   Research Associate Full Time

    University of Newcastle

    Newcastle Upon Tyne, Reino Unido

    2017 - 2018


 

Article (11)

Cross‐Dimple in the Cross‐Covariance Functions of Bivariate Isotropic Random Fields on Spheres
The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere
Axially symmetric models for global data: A journey between geostatistics and stochastic generators
Covariance functions for multivariate Gaussian fields evolving temporally over planet earth
Asymmetric matrix-valued covariances for multivariate random fields on spheres
Modeling Temporally Evolving and Spatially Globally Dependent Data
Regularity properties and simulations of Gaussian random fields on the sphere cross time
Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere
The dimple problem related to space-time modeling under the Lagrangian framework
Composite Likelihood Inference for Multivariate Gaussian Random Fields
Likelihood-based inference for multivariate space-time wrapped-Gaussian fields

Proyecto (2)

New Developments in Multivariate Spatial Statistics: Anisotropies by Components, Cross-Dimples, and Non-Normal Distributions, and their Applications
SPATIO-TEMPORAL MODELS BASED ON RANDOM FIELDS EVOLVING ON THE SPHERE WITH APPLICATIONS TO CONTAMINATION, MINING AND NATURAL CATASTROPHES
11
Alfredo Alegria

Professor

Matemática

Universidad Técnica Federico Santa María

Valparaíso, Chile

2
Moreno Bevilacqua

Profesor Asociado

Universidad Adolfo Ibánez

Viña del Mar, Chile

1
Emilio Porcu

Professor

Mathematics

Universidad Técnica Federico Santa María

Valparaiso, Chile