2 papers
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.ME2023
Corrected kernel principal component analysis for model structural change detection
Luoyao Yu, Lixing Zhu, Ruoqing Zhu +1
This paper develops a method to detect model structural changes by applying a Corrected Kernel Principal Component Analysis (CKPCA) to construct the so-called central distribution…