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20182026
most citedGenerative AI

1.3k citations

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6 papers · 1 filter

stat.ME2026

Unity Forests: Improving Interaction Modelling and Interpretability in Random Forests

Roman Hornung, Alexander Hapfelmeier

Random forests (RFs) are widely used for prediction and variable importance analysis and are often believed to capture any types of interactions via recursive splitting. However, s…

stat.ME2025

Area-based epigraph and hypograph indices for functional outlier detection

Belen Pulido, Alba M. Franco-Pereira, Rosa E. Lillo +1

Detecting outliers in Functional Data Analysis is challenging because curves can stray from the majority in many different ways. The Modified Epigraph Index (MEI) and Modified Hypo…

stat.ME2025★ 4 cited

On "Confirmatory" Methodological Research in Statistics and Related Fields

F. J. D. Lange, Juliane C. Wilcke, Sabine Hoffmann +2

Empirical substantive research, such as in the life or social sciences, is commonly categorized into the two modes exploratory and confirmatory, both of which are essential to scie…

stat.ME2024★ 2 cited

Rethinking the handling of method failure in comparison studies

Milena Wünsch, Moritz Herrmann, Elisa Noltenius +3

Comparison studies in methodological research are intended to compare methods in an evidence-based manner to help data analysts select a suitable method for their application. To p…

stat.ME2024★ 3 cited

Addressing researcher degrees of freedom through minP adjustment

Maximilian M Mandl, Andrea S Becker-Pennrich, Ludwig C Hinske +2

When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is ofte…

stat.ME2022★ 16 cited

Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment

Christina Nießl, Sabine Hoffmann, Theresa Ullmann +1

The constant development of new data analysis methods in many fields of research is accompanied by an increasing awareness that these new methods often perform better in their intr…