Modeling Temporally Evolving and Spatially Globally Dependent Data E Porcu, A Alegría, R Furrer
International Statistical Review 86 (2), 344-377, 2018
96 2018 Regularity properties and simulations of Gaussian random fields on the Sphere cross Time J Clarke, A Alegría, E Porcu
Electronic Journal of Statistics 12 (1), 399-426, 2018
42 * 2018 Covariance functions for multivariate Gaussian fields evolving temporally over planet earth A Alegría, E Porcu, R Furrer, J Mateu
Stochastic Environmental Research and Risk Assessment 33 (8), 1593–1608, 2019
41 2019 The F-family of covariance functions: A Matérn analogue for modeling random fields on spheres A Alegría, F Cuevas-Pacheco, P Diggle, E Porcu
Spatial Statistics 43, 100512, 2021
25 * 2021 Axially symmetric models for global data: a journey between geostatistics and stochastic generators E Porcu, S Castruccio, A Alegria, P Crippa
Environmetrics 30 (1), e2555, 2019
21 2019 The dimple problem related to space–time modeling under the Lagrangian framework A Alegría, E Porcu
Journal of Multivariate Analysis 162, 110-121, 2017
21 2017 Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere A Alegría, S Caro, M Bevilacqua, E Porcu, J Clarke
Spatial Statistics 22, 388-402, 2017
18 2017 Composite likelihood inference for multivariate Gaussian random fields M Bevilacqua, A Alegria, D Velandia, E Porcu
Journal of Agricultural, Biological, and Environmental Statistics 21 (3 …, 2016
18 2016 The Turning Arcs: a Computationally Efficient Algorithm to Simulate Isotropic Vector-Valued Gaussian Random Fields on the A Alegría, X Emery, C Lantuéjoul
Statistics and Computing 30 (5), 1403-1418, 2020
15 2020 The Gauss hypergeometric covariance kernel for modeling second-order stationary random fields in Euclidean spaces: its compact support, properties and spectral representation X Emery, A Alegría
Stochastic Environmental Research and Risk Assessment 36 (9), 2819-2834, 2022
9 2022 Bivariate Matérn covariances with cross-dimple for modeling coregionalized variables A Alegría, X Emery, E Porcu
Spatial Statistics 41, 100491, 2021
8 2021 Asymmetric matrix-valued covariances for multivariate random fields on spheres A Alegría, E Porcu, R Furrer
Journal of Statistical Computation and Simulation 88 (10), 1850-1862, 2018
8 2018 Likelihood-based inference for multivariate space-time wrapped-Gaussian fields A Alegría, M Bevilacqua, E Porcu
Journal of Statistical Computation and Simulation 86 (13), 2583-2597, 2016
6 2016 A spectral algorithm to simulate nonstationary random fields on spheres and multifractal star-shaped random sets X Emery, A Alegría
Stochastic Environmental Research and Risk Assessment 34 (12), 2301-2311, 2020
5 2020 Cross‐Dimple in the Cross‐Covariance Functions of Bivariate Isotropic Random Fields on Spheres A Alegría
Stat 9, e301, 2020
5 2020 Multivariate isotropic random fields on spheres: Nonparametric Bayesian modeling and A Alegría, PG Bissiri, G Cleanthous, E Porcu, P White
4 2021 Karhunen-Loève Expansions for Axially Symmetric Gaussian Processes: Modeling Strategies and L2 Approximations A Alegría, F Cuevas
Stochastic Environmental Research and Risk Assessment 34 (11), 1953–1965, 2020
4 2020 Assessing the effective sample size for large spatial datasets: A block likelihood approach J Acosta, A Alegría, F Osorio, R Vallejos
Computational Statistics & Data Analysis 162, 107282, 2021
3 2021 Covariance models and simulation algorithm for stationary vector random fields on spheres crossed with Euclidean spaces X Emery, A Alegría, D Arroyo
SIAM Journal on Scientific Computing 43 (5), A3114-A3134, 2021
3 2021 Hybrid parametric classes of isotropic covariance functions for spatial random fields A Alegría, F Ramírez, E Porcu
Mathematical Geosciences, 1-21, 2024
1 2024 
Emilio PorcuProfessor of Statistics, KU Abu Dhabi, & Visiting Fellow, Trinity College, DublinAdresse e-mail validée de ku.ac.ae
