Estimation of the Number of Spiked Eigenvalues in a Covariance Matrix by Bulk…
The spiked covariance model has gained increasing popularity in high-dimensional data analysis. A fundamental problem is determination of the number of spiked eigenvalues, K. For estimation of K, m…
A Minimax Optimal Ridge-Type Set Test for Global Hypothesis With Applications…
Testing a global hypothesis for a set of variables is a fundamental problem in statistics with a wide range of applications. A few well-known classical tests include the Hotelling’s T 2 test, the…
Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With…
We consider in this article detection of signal regions associated with disease outcomes in whole genome association studies. Gene- or region-based methods have become increasingly popular in whole…
Large-Scale Hypothesis Testing for Casual Mediation Effects with Applications…
In genome-wide epigenetic studies, it is of great scientific interest to assess whether the effect of an exposure on a clinical outcome is mediated through DNA methylations. However, statistical in…
Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplet…
Modeling infectious disease dynamics has been critical throughout the COVID-19 pandemic. Of particular interest are the incidence, prevalence, and effective reproductive number (Rt ). Estimating th…
Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic …
Studying the effects of groups of single nucleotide polymorphisms (SNPs), as in a gene, genetic pathway, or network, can provide novel insight into complex diseases such as breast cancer, uncoverin…
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