3 papers
stat.AP2026
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
Jakob Schwerter, Amer Krivosija, Tim Novak +2
Early identification of at risk students in higher education depends on predictive models that maintain accuracy across successive cohorts -- a requirement that single-cohort model…
stat.AP2024
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Jakob Schwerter, Andrés Romero, Florian Dumpert +1
Tree-based learning methods such as Random Forest and XGBoost are still the gold-standard prediction methods for tabular data. Feature importance measures are usually considered fo…
stat.AP2024
Interpretable Prediction Rule Ensembles in the Presence of Missing Data
Vincent Schroeder, Jakob Schwerter, Marjolein Fokkema +1
Prediction Rule Ensembles (PREs) are robust and interpretable statistical learning techniques with potential for predictive analytics, yet their efficacy in the presence of missing…