Követés
Emilio Porcu
Emilio Porcu
Professor of Statistics, KU Abu Dhabi, & Research Fellow, ADIA Lab
E-mail megerősítve itt: ku.ac.ae - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Estimating space and space-time covariance functions for large data sets: a weighted composite likelihood approach
M Bevilacqua, C Gaetan, J Mateu, E Porcu
Journal of the American Statistical Association 107 (497), 268-280, 2012
1882012
Statistical challenges of administrative and transaction data
DJ Hand
Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018
1812018
Spatio-temporal covariance and cross-covariance functions of the great circle distance on a sphere
E Porcu, M Bevilacqua, MG Genton
Journal of the American Statistical Association 111 (514), 888-898, 2016
1742016
Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics
M Bevilacqua, T Faouzi, R Furrer, E Porcu
The Annals of Statistics 47 (2), 828-856, 2019
1172019
Nonseparable stationary anisotropic space–time covariance functions
E Porcu, P Gregori, J Mateu
Stochastic Environmental Research and Risk Assessment 21 (2), 113-122, 2006
1142006
From Schoenberg coefficients to Schoenberg functions
C Berg, E Porcu
Constructive Approximation 45, 217-241, 2017
952017
Modeling temporally evolving and spatially globally dependent data
E Porcu, A Alegria, R Furrer
International Statistical Review 86 (2), 344-377, 2018
932018
30 Years of space–time covariance functions
E Porcu, R Furrer, D Nychka
Wiley Interdisciplinary Reviews: Computational Statistics 13 (2), e1512, 2021
822021
An improved spectral turning-bands algorithm for simulating stationary vector Gaussian random fields
X Emery, D Arroyo, E Porcu
Stochastic environmental research and risk assessment 30, 1863-1873, 2016
802016
The Dagum family of isotropic correlation functions
C Berg, J Mateu, E Porcu
802008
Quasi-arithmetic means of covariance functions with potential applications to space–time data
E Porcu, J Mateu, G Christakos
Journal of Multivariate Analysis 100 (8), 1830-1844, 2009
772009
New classes of covariance and spectral density functions for spatio-temporal modelling
E Porcu, J Mateu, F Saura
Stochastic Environmental Research and Risk Assessment 22 (Suppl 1), 65-79, 2008
772008
Dimension walks and Schoenberg spectral measures
D Daley, E Porcu
Proceedings of the American Mathematical Society 142 (5), 1813-1824, 2014
712014
Classes of compactly supported covariance functions for multivariate random fields
DJ Daley, E Porcu, M Bevilacqua
Stochastic Environmental Research and Risk Assessment 29, 1249-1263, 2015
692015
Modelling spatio-temporal data: a new variogram and covariance structure proposal
E Porcu, J Mateu, A Zini, R Pini
Statistics & probability letters 77 (1), 83-89, 2007
672007
Predicting genetic values: a kernel-based best linear unbiased prediction with genomic data
U Ober, M Erbe, N Long, E Porcu, M Schlather, H Simianer
Genetics 188 (3), 695-708, 2011
612011
A flexible class of non-separable cross-covariance functions for multivariate space–time data
M Bourotte, D Allard, E Porcu
Spatial Statistics 18, 125-146, 2016
562016
Characterization theorems for some classes of covariance functions associated to vector valued random fields
E Porcu, V Zastavnyi
Journal of Multivariate Analysis 102 (9), 1293-1301, 2011
552011
Anisotropy models for spatial data
D Allard, R Senoussi, E Porcu
Mathematical Geosciences 48 (3), 305-328, 2016
532016
On potentially negative space time covariances obtained as sum of products of marginal ones
P Gregori, E Porcu, J Mateu, Z Sasvári
Annals of the Institute of Statistical Mathematics 60 (4), 865-882, 2008
472008
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