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stat.ME2026
Bootstrapped Control Limits for Score-Based Concept Drift Control Charts
Jiezhong Wu, Daniel W. Apley
Monitoring for changes in a predictive relationship represented by a fitted supervised learning model (i.e., concept drift detection) is a widespread problem in modern data-driven…
stat.ME2025
One-at-a-time knockoffs: controlled false discovery rate with higher power
Charlie K. Guan, Zhimei Ren, Daniel W. Apley
We propose one-at-a-time knockoffs (OATK), a new methodology for detecting important explanatory variables in linear regression models while controlling the false discovery rate (F…