2 papers
cs.AI2026
An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)
Jincheng Yu, Haoyang Li, Yiwen Liu +5
Purpose: To develop an interpretable and trustworthy AI framework that combines deep learning based MRI Osteoarthritis Knee Score (MOAKS) prediction with interpretable statistical…
stat.ME2025
Autocorrelation Test under Frequent Mean Shifts
Ziyang Liu, Ning Hao, Yue Selena Niu +2
Testing for the presence of autocorrelation is a fundamental problem in time series analysis. Classical methods such as the Box-Pierce test rely on the assumption of stationarity,…