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20132026
most citedDatabase, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds

45 citations · 184 across the 21 of their papers we have counts for

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Showing 2025 · stat.MEShow all

2 papers · 2 filters

stat.ME2025

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…