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Preprint Oct 2026

Cauchy-Combined Hettmansperger-Randles Location Tests in High Dimensions

High-dimensional mean testing is challenging under strong dependence and heavy tails, since classical Hotelling statistics are ill posed and regularized versions based on sample moments remain sensitive to outliers. This paper develops a robust regularized Hotelling framework for one-sample mean inference under ellipti...

Ping Zhao, Long Feng, Xiao-Yi Wang · 0 citations
Preprint Sep 2026

Nonparametric Change-Point Detection and Inference for High-Dimensional Distributions

High-dimensional distributions can change without altering means or covariances, while the number of affected coordinates is often unknown. We propose nonparametric procedures that address both challenges through standardized rank comparisons of marginal distributions. Sum and maximum scans target dense and sparse chan...

Ping Zhao, Long Feng · 0 citations

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