3 papers
stat.AP2026
DROP: Distributionally Robust Optimization for Multi-task Learning in Graphical Models
Canruo Shen, Xintong Ji, Qiong Li +2
Gaussian Graphical Models (GGMs) are widely used to infer conditional dependence structures in high-dimensional data. However, standard precision matrix estimators are highly sensi…
stat.ME2026
Consistent and powerful CUSUM change-point test for panel data with changes in variance
Wenzhi Yang, Yueting Xu, Xiaoping Shi +1
This paper investigates change-point of variance in panel data models with time series of -mixing. Based on the cumulative sum (CUSUM) method and the individual differences, we…
stat.ME2026
Adaptive Kernel Regression for Constrained Route Alignment: Theory and Iterative Data Sharpening
Shiyin Du, Yiting Chen, Wenzhi Yang +2
Route alignment design in surveying and transportation engineering frequently involves fixed waypoint constraints, where a path must precisely traverse specific coordinates. While…