56 citations · 337 across the 23 of their papers we have counts for
7 papers · 1 filter
Marginal Regression on Transient State Occupation Probabilities with Clustered Multistate Process Data
Wenxian Zhou, Giorgos Bakoyannis, Ying Zhang +1
Clustered multistate process data are commonly encountered in multicenter observational studies and clinical trials. A clinically important estimand with such data is the marginal…
Semiparametric Marginal Regression for Clustered Competing Risks Data with Missing Cause of Failure
Wenxian Zhou, Giorgos Bakoyannis, Ying Zhang +1
Clustered competing risks data are commonly encountered in multicenter studies. The analysis of such data is often complicated due to informative cluster size, a situation where th…
BEAUTY Powered BEAST
Kai Zhang, Wan Zhang, Zhigen Zhao +1
We study distribution-free goodness-of-fit tests with the proposed Binary Expansion Approximation of UniformiTY (BEAUTY) approach. This method generalizes the renowned Euler's form…
User-Friendly Covariance Estimation for Heavy-Tailed Distributions
Yuan Ke, Stanislav Minsker, Zhao Ren +2
We offer a survey of recent results on covariance estimation for heavy-tailed distributions. By unifying ideas scattered in the literature, we propose user-friendly methods that fa…
Principal component analysis for big data
Jianqing Fan, Qiang Sun, Wen-Xin Zhou +1
Big data is transforming our world, revolutionizing operations and analytics everywhere, from financial engineering to biomedical sciences. The complexity of big data often makes d…
FarmTest: Factor-Adjusted Robust Multiple Testing with Approximate False Discovery Control
Jianqing Fan, Yuan Ke, Qiang Sun +1
Large-scale multiple testing with correlated and heavy-tailed data arises in a wide range of research areas from genomics, medical imaging to finance. Conventional methods for esti…
Testing for high-dimensional white noise using maximum cross-correlations
Jinyuan Chang, Qiwei Yao, Wen Zhou
We propose a new omnibus test for vector white noise using the maximum absolute auto-correlations and cross-correlations of the component series. Based on the newly established app…