193 citations · 438 across the 22 of their papers we have counts for
4 papers · 1 filter
Semiparametric Approach for Regression with Covariate Subject to Limit of Detection
Shengchun Kong, Bin Nan
We consider generalized linear regression analysis with left-censored covariate due to the lower limit of detection. Complete case analysis by eliminating observations with values…
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations
Hai Shu, Bin Nan
We consider the estimation of large covariance and precision matrices from high-dimensional sub-Gaussian or heavier-tailed observations with slowly decaying temporal dependence. Th…
Regularized 3D functional regression for brain image data via Haar wavelets
Xuejing Wang, Bin Nan, Ji Zhu +1
The primary motivation and application in this article come from brain imaging studies on cognitive impairment in elderly subjects with brain disorders. We propose a regularized Ha…
Multiple Testing for Neuroimaging via Hidden Markov Random Field
Hai Shu, Bin Nan, Robert Koeppe
Traditional voxel-level multiple testing procedures in neuroimaging, mostly -value based, often ignore the spatial correlations among neighboring voxels and thus suffer from sub…