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12/27/2022
Weak Signal Inclusion Under Dependence and Applications in Genome-wide Association Study
Motivated by the inquiries of weak signals in underpowered genome-wide a...
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02/17/2021
Estimating The Proportion of Signal Variables Under Arbitrary Covariance Dependence
Estimating the proportion of signals hidden in a large amount of noise v...
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06/28/2020
Dual Control of Testing Errors in High-Dimensional Data Analysis
False negative errors are of major concern in applications where missing...
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06/16/2018
Post-Lasso Inference for High-Dimensional Regression
Among the most popular variable selection procedures in high-dimensional...
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05/27/2018
Adaptive Signal Inclusion With Genomic Applications
This paper addresses the challenge of efficiently capturing a high propo...
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05/14/2018
FastLORS: Joint Modeling for eQTL Mapping in R
Yang et al. (2013) introduced LORS, a method that jointly models the exp...
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04/20/2018
Variable Selection via Adaptive False Negative Control in High-Dimensional Regression
In high-dimensional regression, variable selection methods have been dev...
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04/09/2018
Efficient Predictor Ranking and False Discovery Proportion Control in High-Dimensional Regression
We propose a ranking and selection procedure to prioritize relevant pred...
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04/08/2018
