SpatialPack: Package for analysis of spatial data F Osorio, R Vallejos, F Cuevas, D Mancilla
R package version 0.2–3, 2014
99 * 2014 Regularized estimation for highly multivariate log Gaussian Cox processes A Choiruddin, F Cuevas-Pacheco, JF Coeurjolly, R Waagepetersen
Statistics and Computing 30 (3), 649-662, 2020
33 2020 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 Study of spatial relationships between two sets of variables: a nonparametric approach F Cuevas, E Porcu, R Vallejos
Journal of Nonparametric Statistics 25 (3), 695-714, 2013
25 2013 Log Gaussian Cox processes on the sphere F Cuevas-Pacheco, J Møller
Spatial Statistics 26, 69-82, 2018
13 2018 Fast and exact simulation of Gaussian random fields defined on the sphere cross time F Cuevas, D Allard, E Porcu
Statistics and Computing 30 (1), 187-194, 2020
12 2020 Contours and dimple for the Gneiting class of space-time correlation functions F Cuevas, E Porcu, M Bevilacqua
Biometrika 104 (4), 995-1001, 2017
10 2017 SpatialPack: Tools for assessment the association between two spatial processes F Osorio, R Vallejos, F Cuevas, D Mancilla
R package version 0.3-8196. CRAN. R-project. org/package= SpatialPack, 2020
8 2020 Tools for assessment the association between two spatial processes. R package version 0.3-8 F Osorio, R Vallejos, F Cuevas, D Mancilla
6 2019 Structured Space-Sphere Point Processes and K -Functions J Møller, HS Christensen, F Cuevas-Pacheco, AD Christoffersen
Methodology and Computing in Applied Probability 23, 569-591, 2021
5 2021 Package ‘SpatialPack’ F Osorio, R Vallejos, F Cuevas, D Mancilla, MF Osorio
4 2024 Karhunen–Loève expansions for axially symmetric Gaussian processes: modeling strategies and A Alegría, F Cuevas-Pacheco
Stochastic Environmental Research and Risk Assessment 34 (11), 1953-1965, 2020
4 2020 Second-order variational equations for spatial point processes with a view to pair correlation function estimation JF Coeurjolly, F Cuevas-Pacheco, R Waagepetersen
Spatial Statistics 30, 103-115, 2019
4 2019 A convolution type model for the intensity of spatial point processes applied to eye-movement data JF Coeurjolly, F Cuevas-Pacheco, MH Descary
Spatial Statistics 51, 100651, 2022
1 2022 Inhomogeneous interacting marked point processes for studying morphostructures in paleobiological data D Astaburuaga, RS Stoica, D Gemmerlé, F Cuevas-Pacheco
Ring Meeting 2024, 2024
2024 Composite likelihood inference for space-time point processes A Jalilian, F Cuevas-Pacheco, G Xu, R Waagepetersen
arXiv preprint arXiv:2402.12548, 2024
2024 Pairwise interaction function estimation of stationary Gibbs point processes using basis expansion I Ba, JF Coeurjolly, F Cuevas-Pacheco
The Annals of Statistics 51 (3), 1134-1158, 2023
2023 Pairwise interaction function estimation of Gibbs point processes using basis expansion I Ba, JF Coeurjolly, F Cuevas-Pacheco
arXiv preprint arXiv:2110.05391, 2021
2021 A convolution type model for the intensity of spatial point processes applied to eye-movement data F Cuevas-Pacheco, JF Coeurjolly, MH Descary
arXiv preprint arXiv:2012.09659, 2020
2020 Fast and exact simulation of Gaussian random fields defined on the sphere or the sphere cross time F Cuevas, D Allard, E Porcu
Ronny VallejosProfesor de Matemática, Universidad Técnica Federico Santa MaríaVahvistettu sähköpostiosoite verkkotunnuksessa usm.cl
