284 citations · 806 across the 87 of their papers we have counts for
4 papers · 1 filter
Directional Outlyingness for Multivariate Functional Data
Wenlin Dai, Marc G. Genton
The direction of outlyingness is crucial to describing the centrality of multivariate functional data. Motivated by this idea, we generalize classical depth to directional outlying…
A Copula Model for Non-Gaussian Multivariate Spatial Data
Pavel Krupskii, Marc G. Genton
We propose a new copula model for replicated multivariate spatial data. Unlike classical models that assume multivariate normality of the data, the proposed copula is based on the…
A Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data
Stefano Castruccio, Hernando Ombao, Marc G. Genton
Functional Magnetic Resonance Imaging (fMRI) is a primary modality for studying brain activity. Modeling spatial dependence of imaging data at different scales is one of the main c…
Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis
Francisco J. Rubio, Marc G. Genton
We study Bayesian linear regression models with skew-symmetric scale mixtures of normal error distributions. These kinds of models can be used to capture departures from the usual…