2 papers
stat.ME2016
A robust covariance testing approach for high-throughput data
Yi-Hui Zhou
The problem of testing changes in covariance has received increasing attention in recent years, especially in the context of high-dimensional testing. A number of approaches have b…
stat.ME2014
Hypothesis testing at the extremes: fast and robust association for high-throughput data
Yi-Hui Zhou, Fred Wright
A number of biomedical problems require performing many hypothesis tests, with an attendant need to apply stringent thresholds. Often the data take the form of a series of predicto…