4 papers · 1 filter
Multi-rank Subspace Change-point Detection with Application in Monitoring Robotic Swarms
Jonghyeok Lee, Yao Xie, Youngser Park +3
We study real-time detection of low-rank changes in the covariance structure of high-dimensional streaming data, motivated by robotic swarm monitoring. Building on the spiked covar…
Higher-criticism for sparse multi-stream change-point detection
Tingnan Gong, Alon Kipnis, Yao Xie
We study a statistical procedure based on higher criticism (HC) to address the sparse multi-stream quickest change-point detection problem. Namely, we aim to detect a potential cha…
Distribution-Free Online Change Detection for Low-Rank Images
Tingnan Gong, Seong-Hee Kim, Yao Xie
We present a distribution-free CUSUM procedure designed for online change detection in a time series of low-rank images, particularly when the change causes a mean shift. We repres…
: Robust Principal Component Analysis for Exponential Family Distributions
Xiaojun Zheng, Simon Mak, Liyan Xie +1
Robust Principal Component Analysis (RPCA) is a widely used method for recovering low-rank structure from data matrices corrupted by significant and sparse outliers. These corrupti…