Alfredo Alegría Jiménez

Encargado de Seminarios

Línea de Investigación:

Probabilidad y Estadística

Información:

  • Grado Académico: Ph.D Universidad Técnica Federico Santa María
  • Título Profesional: Ingeniero Civil Matemático, Universidad Técnica Federico Santa María
  • Campus: Casa Central
  • Oficina: F-258
  • Email: alfredo.alegria@usm.cl
  • Teléfono: (56) (32) 265 4488
  • Sitio Web

Publicaciones Recientes

Núm. Autores Artículo Revista Año
18

X. Emery, A. Alegría, D. Arroyo

Covariance models and simulation algorithm for stationary vector random fields on spheres crossed with Euclidean spaces

SIAM Journal on Scientific Computing 43, (5), A3114-A3134, (2021).

2021
17

A. Alegría, F. Osorio, R. Vallejos, J. Acosta.

Assessing the effective sample size for large spatial datasets: A block likelihood approach

Computational Statistics \& Data Analysis, 162, Paper No. 107282, 21 (2021).

2021
16

A. Alegría, X. Emery, E. Porcu

Bivariate Matérn Covariances with Cross-Dimple for Modeling Coregionalized Variables

Spatial Statistics Volume 41, 2021, 100491.

2021
15

A. Alegría, P.G. Bissiri, G. Cleanthous, E. Porcu, P. White

Multivariate isotropic random fields on spheres: Nonparametric Bayesian modeling and Lp fast approximations

Electron. J. Statist. 15(1): 2360-2392 (2021).

2021
14

A. Alegría, F. Cuevas, P. Diggle, E. Porcu

The F-family of covariance functions: a Matérn analogue for modeling random fields on spheres

Spatial Statistics Volume 43, 2021, 100512.

2021
13

A. Alegría, X. Emery, C. Lantuéjoul

The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere

Statistics and Computing, Vol 30(5), 1403-1418.

2020
12
A. Alegría
Cross‐dimple in the cross‐covariance functions of bivariate isotropic random fields on spheres

Stat, Vol 9(1), e301.

2020
11

A. Alegría, F. Cuevas

Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and L2 approximations

Stochastic Environmental Research and Risk Assessment, Vol 34, 1953–1965.

2020
10

X. Emery, A. Alegría

A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets

Stochastic Environmental Research and Risk Assessment volume 34, pages2301–2311(2020).

2020
9

E. Porcu, S. Castruccio, A. Alegría, P. Crippa

Axially symmetric models for global data: A journey between geostatistics and stochastic generators​

Environmetrics; Vol 30(1), pp. e255; Jan. 2019.

2019
8

A. Alegría , E. Porcu, R. Furrer, J. Mateu

Covariance functions for multivariate Gaussian fields evolving temporally over planet Earth

Stochastic Environmental Research and Risk Assessment; Vol. 33(8), pp. 1593-1608; Aug. 2019.

2019
7

E. Porcu, A. Alegría and R. Furrer

Modeling Temporally Evolving and Spatially Globally Dependent Data

International Statistical Review, 86(2), 344-377.

2018
6

A. Alegría, E. Porcu and R. Furrer

Asymmetric Matrix-Valued Covariances for Multivariate Random Fields on Spheres

Journal of Statistical Computation and Simulation, 88(10), 1850-1862.

2018
5

J. Clarke, A. Alegría and E. Porcu

Regularity properties and simulations of Gaussian random fields on the sphere cross time

Electronic Journal of Statistics, 12(1), 399-426.

2018
4

A. Alegría and E. Porcu

The dimple problem related to space-time modeling under the Lagrangian framework

Journal of Multivariate Analysis, 162, 110-121.

2017
3

A. Alegría, S. Caro, M. Bevilacqua, E. Porcu and J. Clarke

Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere

Spatial Statistics, 22, 388-402.

2017
2

A. Alegría, M. Bevilacqua and E. Porcu

Likelihood-based inference for multivariate space-time wrapped-Gaussian fields

Journal of Statistical Computation and Simulation, 86(13), 2583-2597.

2016
1

M. Bevilacqua, A. Alegría, D. Velandia and E. Porcu

Composite likelihood inference for multivariate Gaussian random fields

Journal of Agricultural Biological and Environmental Statistics, 21(3), 448-469.

2016

Proyectos Vigentes

Programa Nombre Proyecto Periodo
FONDECYT INICIACIÓN 11190686 New Developments in Multivariate Spatial Statistics: Anisotropies by Components, Cross-Dimples, and Non-Normal Distributions, and their Applications 2019 - 2022