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Jakob Schwerter

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • econ.GN1
ORCID 0000-0001-5818-2431

identity via Semantic Scholar / OpenAlex

most citedEvaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies

6 citations · 6 across the 3 of their papers we have counts for

collaborators

3 papers

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★ 6 cited

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…

econ.GN2022

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.