9 citations · 20 across the 6 of their papers we have counts for
4 papers · 1 filter
Multivariate Intrinsic Local Polynomial Regression on Isometric Riemannian Manifolds: Applications to Positive Definite Data
Ronaldo García Reyes, Ying Wang, Min Li +4
The paper introduces a novel non-parametric Riemannian regression method using Isometric Riemannian Manifolds (IRMs). The proposed technique, Intrinsic Local Polynomial Regression…
FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression
Ying Wang, Min Li, Deirel Paz-Linares +2
Kernel smooth is the most fundamental technique for data density and regression estimation. However, time-consuming is the biggest obstacle for the application that the direct eval…
Identification of oscillatory brain networks with Hidden Gaussian Graphical Spectral models of EEG/MEG
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez +7
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estim…
Empirical bayes formulation of the elastic net and mixed-norm models: application to the eeg inverse problem
Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A. Rojas-López +2
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem, due to the non-uniqueness of the solution, and many kind…