3 papers
stat.ME2025
Integral-Operator-Based Spectral Algorithms for Goodness-of-Fit Tests
Shiwei Sang, Shao-Bo Lin, Xuehu Zhu
The widespread adoption of the \emph{maximum mean discrepancy} (MMD) in goodness-of-fit testing has spurred extensive research on its statistical performance. However, recent studi…
stat.ME2025
Functional Change Point Detection via Adjacent Deviation Subspace
Luoyao Yu, Long Feng, Xuehu Zhu
This paper develops the concept of the Adjacent Deviation Subspace (ADS), a novel framework for reducing infinite-dimensional functional data into finite-dimensional vector or scal…
stat.ME2025
Testing for large-dimensional covariance matrix under differential privacy
Shiwei Sang, Yicheng Zeng, Xuehu Zhu +1
The increasing prevalence of high-dimensional data across various applications has raised significant privacy concerns in statistical inference. In this paper, we propose a differe…