12 citations · 34 across the 6 of their papers we have counts for
6 papers
Addressing patient heterogeneity in disease predictive model development
Xu Gao, Weining Shen, Jing Ning +2
This paper addresses patient heterogeneity associated with prediction problems in biomedical applications. We propose a systematic hypothesis testing approach to determine the exis…
Modeling Brain Connectivity with Graphical Models on Frequency Domain
Xu Gao, Weining Shen, Chee-Ming Ting +3
Multichannel electroencephalograms (EEGs) have been widely used to study cortical connectivity during acquisition of motor skills. In this paper, we introduce copula Gaussian graph…
Regularized matrix data clustering and its application to image analysis
Xu Gao, Weining Shen, Hernando Ombao
In this paper, we propose a regularized mixture probabilistic model to cluster matrix data and apply it to brain signals. The approach is able to capture the sparsity (low rank, sm…
Fisher information matrix of binary time series
Xu Gao, Hernando Ombao, Daniel Gillen
A common approach to analyzing categorical correlated time series data is to fit a generalized linear model (GLM) with past data as covariate inputs. There remain challenges to con…
Modeling Binary Time Series Using Gaussian Processes with Application to Predicting Sleep States
Xu Gao, Babak Shahbaba, Hernando Ombao
Motivated by the problem of predicting sleep states, we develop a mixed effects model for binary time series with a stochastic component represented by a Gaussian process. The fixe…
Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials
Xu Gao, Weining Shen, Babak Shahbaba +2
We propose an evolutionary state space model (E-SSM) for analyzing high dimensional brain signals whose statistical properties evolve over the course of a non-spatial memory experi…