9 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors
A. González-Mitjans, D. Paz-Linares, A. Areces-Gonzalez +4
This paper introduces methods and a novel toolbox that efficiently integrates any high-dimensional Neural Mass Models (NMMs) specified by two essential components. The first is the…
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…