111 citations · 318 across the 25 of their papers we have counts for
9 papers · 1 filter
Variance Estimation and Confidence Intervals from High-dimensional Genome-wide Association Studies Through Misspecified Mixed Model Analysis
Cecilia Dao, Jiming Jiang, Debashis Paul +1
We study variance estimation and associated confidence intervals for parameters characterizing genetic effects from genome-wide association studies (GWAS) misspecified mixed model…
High-dimensional general linear hypothesis tests via non-linear spectral shrinkage
Haoran Li, Alexander Aue, Debashis Paul
We are interested in testing general linear hypotheses in a high-dimensional multivariate linear regression model. The framework includes many well-studied problems such as two-sam…
Modeling Tangential Vector Fields on a Sphere
Minjie Fan, Debashis Paul, Thomas C. M. Lee +1
Physical processes that manifest as tangential vector fields on a sphere are common in geophysical and environmental sciences. These naturally occurring vector fields are often sub…
An adaptable generalization of Hotelling's test in high dimension
Haoran Li, Alexander Aue, Debashis Paul +2
We propose a two-sample test for detecting the difference between mean vectors in a high-dimensional regime based on a ridge-regularized Hotelling's . To choose the regulariza…
Fiber Direction Estimation, Smoothing and Tracking in Diffusion MRI
Raymond K. W. Wong, Thomas C. M. Lee, Debashis Paul +2
Diffusion magnetic resonance imaging is an imaging technology designed to probe anatomical architectures of biological samples in an in vivo and non-invasive manner through measuri…
Geometric kernel smoothing of tensor fields
Owen Carmichael, Jun Chen, Debashis Paul +1
In this paper, we study a kernel smoothing approach for denoising a tensor field. Particularly, both simulation studies and theoretical analysis are conducted to understand the eff…