6 citations · 9 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies
Jakob Schwerter, Ketevan Gurtskaia, Andrés Romero +2
Dealing with missing data is an important problem in statistical analysis that is often addressed with imputation procedures. The performance and validity of such methods are of gr…
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Nico Föge, Jakob Schwerter, Ketevan Gurtskaia +2
When data have a hierarchical structure, such as students nested within classrooms, ignoring dependencies between observations can compromise the validity of imputation procedures.…
Do school reforms shape study behavior at university? Evidence from an instructional time reform
Jakob Schwerter, Nicolai Netz, Nicolas Hübner
Early-life environments can have long-lasting developmental effects. Interestingly, research on how school reforms affect later-life study behavior has hardly adopted this perspect…