Author

Ping Zhao

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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

Preprint Jul 2026

Adaptive Ridge-Regularized Hotelling Change-Point Tests for Functional Data

We propose a unified ridge-regularized Hotelling framework for detecting and locating mean changes in functional time series. A growing basis expansion converts the functional observations into high-dimensional score vectors. Their long-run covariance is estimated by an edge-corrected difference-based procedure. Ridge...

Ping Zhao, Long Feng · 0 citations