Moreno Bevilacqua
Citata da
Citata da
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
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
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
Spatial relationships between two georeferenced variables: With applications in R
R Vallejos, F Osorio, M Bevilacqua
Springer Nature, 2020
Comparing composite likelihood methods based on pairs for spatial Gaussian random fields
M Bevilacqua, C Gaetan
Statistics and Computing 25, 877-892, 2015
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
Analysis of random fields using CompRandFld
SA Padoan, M Bevilacqua
Journal of Statistical Software 63, 1-27, 2015
Radial basis functions with compact support for multivariate geostatistics
E Porcu, DJ Daley, M Buhmann, M Bevilacqua
Stochastic environmental research and risk assessment 27, 909-922, 2013
Covariance functions that are stationary or nonstationary in space and stationary in time
E Porcu, J Mateu, M Bevilacqua
Statistica Neerlandica 61 (3), 358-382, 2007
Modelling residuals dependence in dynamic life tables: A geostatistical approach
A Debón, F Montes, J Mateu, E Porcu, M Bevilacqua
Computational Statistics & Data Analysis 52 (6), 3128-3147, 2008
Covariance tapering for multivariate Gaussian random fields estimation
M Bevilacqua, A Fassò, C Gaetan, E Porcu, D Velandia
Statistical Methods & Applications 25, 21-37, 2016
Unifying compactly supported and Matérn covariance functions in spatial statistics
M Bevilacqua, C Caamaño-Carrillo, E Porcu
Journal of Multivariate Analysis 189, 104949, 2022
On the flexibility of multivariate covariance models: comment on the paper by Genton and Kleiber
M Bevilacqua, AS Hering, E Porcu
Statistical Science 30 (2), 167-169, 2015
Non‐Gaussian geostatistical modeling using (skew) t processes
M Bevilacqua, C Caamaño‐Carrillo, RB Arellano‐Valle, V Morales‐Oñate
Scandinavian Journal of Statistics 48 (1), 212-245, 2021
Nonseparable, space-time covariance functions with dynamical compact supports
E Porcu, M Bevilacqua, MG Genton
Statistica Sinica 30 (2), 719-739, 2020
Fitting negative spatial covariances to geothermal field temperatures in Nea Kessani (Greece)
J Mateu, E Porcu, G Christakos, M Bevilacqua
Environmetrics: The official journal of the International Environmetrics …, 2007
Equivalence and orthogonality of Gaussian measures on spheres
A Arafat, E Porcu, M Bevilacqua, J Mateu
Journal of Multivariate Analysis 167, 306-318, 2018
Composite likelihood inference for multivariate Gaussian random fields
M Bevilacqua, A Alegria, D Velandia, E Porcu
Journal of agricultural, biological, and environmental statistics 21, 448-469, 2016
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
Buhmann covariance functions, their compact supports, and their smoothness
E Porcu, P Zastavyi, M Bevilacqua
arXiv preprint arXiv:1606.09527, 2016
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