Alfredo Antonio Alegría Jiménez

Resumen

Website: https://sites.google.com/site/alfredoalegriajimenez/

Research interests: Random fields; Geostatistical simulation; Likelihood-based inference; Non-Euclidean geostatistics; Positive definite kernels

Selected Publications: 

• A. Alegría, X. Emery, T. Filosi and E. Porcu (2026). Computationally Efficient Algorithms for Simulating Isotropic Gaussian Random Fields on Graphs with Euclidean Edges. Journal of Computational and Graphical Statistics (forthcoming) 
• A. Villazón, A. Alegría and X. Emery (2025). Neural Networks for Parameter Estimation in Geostatistical Models with Geometric Anisotropies. Machine Learning: Science and Technology, 6(2), 025025
• X. Emery, A. Alegría and D. Arroyo (2021). 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
• J. Acosta, A. Alegría, F. Osorio and R. Vallejos (2021). Assessing the effective sample size for large spatial datasets: A block likelihood approach. Computational Statistics & Data Analysis, 162, 107282
• A. Alegría, F. Cuevas, P. Diggle and E. Porcu (2021). The F family of covariance functions: A Matérn analogue for modeling random fields on spheres. Spatial Statistics, 43, 100512
• A. Alegría, X. Emery and C. Lantuéjoul (2020). The turning arcs: a computationally efficient algorithm to simulate isotropic vector-valued Gaussian random fields on the d-sphere. Statistics and Computing, 30(5), 1403-1418
• A. Alegría and E. Porcu (2017). The dimple problem related to space-time modeling under the Lagrangian framework. Journal of Multivariate Analysis, 162, 110-121

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