11 citations · 16 across the 7 of their papers we have counts for
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An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Methods for quantifying the similarity of datasets are relevant in applications where two or more datasets, or their underlying distributions, need to be compared, ranging from two…
An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Quantifying the similarity of two or more datasets has widespread applications in statistics and machine learning. The method choice is, however, difficult due to the abundance of…
Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison
Marieke Stolte, Franziska Kappenberg, Jörg Rahnenführer +1
Quantifying the similarity between datasets has widespread applications in statistics and machine learning. The performance of a predictive model on novel datasets, referred to as…
Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in estimating the mean squared error of the least squares estimator in linear regression
Marieke Stolte, Nicholas Schreck, Alla Slynko +4
Simulation is a crucial tool for the evaluation and comparison of statistical methods. How to design fair and neutral simulation studies is therefore of great interest for research…