Bootstrapping and permuting paired t-test type statistics. - Frank Konietschke; Markus Pauly (Stat. Comput., 2014)

Parametric and nonparametric bootstrap methods for general MANOVA. - Frank Konietschke; Arne C. Bathke; Solomon W. Harrar; Markus Pauly (J. Multivar. Anal., 2015)

An evaluation of the influence of haptic feedback on gaze behavior during in-car interaction with touch screens. - Frank Beruscha; Wolfgang Krautter; Anja Lahmer; Markus Pauly (WHC, 2017)

A wild bootstrap approach for nonparametric repeated measurements. - Sarah Friedrich; Frank Konietschke; Markus Pauly (Comput. Stat. Data Anal., 2017)

Permuting longitudinal data in spite of the dependencies. - Sarah Friedrich; Edgar Brunner; Markus Pauly (J. Multivar. Anal., 2017)

MATS: Inference for potentially singular and heteroscedastic MANOVA. - Sarah Friedrich; Markus Pauly (J. Multivar. Anal., 2018)

Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models. - Burim Ramosaj; Markus Pauly (CoRR, 2019)

Wild bootstrap logrank tests with broader power functions for testing superiority. - Marc Ditzhaus; Markus Pauly (Comput. Stat. Data Anal., 2019)

Predicting missing values: a comparative study on non-parametric approaches for imputation. - Burim Ramosaj; Markus Pauly (Comput. Stat., 2019)

Wild bootstrapping rank-based procedures: Multiple testing in nonparametric factorial repeated measures designs. - Maria Umlauft; Marius Placzek; Frank Konietschke; Markus Pauly (J. Multivar. Anal., 2019)

Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM. - Sarah Friedrich; Frank Konietschke; Markus Pauly (R J., 2019)

Travel Time Prediction Using Tree-Based Ensembles. - He Huang; Martin Pouls; Anne Meyer; Markus Pauly (ICCL, 2020)

A cautionary tale on using imputation methods for inference in matched-pairs design. - Burim Ramosaj; Lubna Amro; Markus Pauly (Bioinform., 2020)

Multivariate analysis of covariance with potentially singular covariance matrices and non-normal responses. - Georg Zimmermann; Markus Pauly; Arne C. Bathke (J. Multivar. Anal., 2020)

Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. - Michael Kirchhof; Lena Schmid; Christopher Reining; Michael ten Hompel; Markus Pauly (ICCL, 2021)

pRSL: Interpretable multi-label stacking by learning probabilistic rules. - Michael Kirchhof; Lena Schmid; Christopher Reining; Michael ten Hompel; Markus Pauly (UAI, 2021)

Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. - Maximilian Kertel; Stefan Harmeling; Markus Pauly (AI4I, 2022)

Is there a role for statistics in artificial intelligence? - Sarah Friedrich; Gerd Antes; Sigrid Behr; Harald Binder; Werner Brannath; Florian Dumpert; Katja Ickstadt; Hans A. Kestler; Johannes Lederer; Heinz Leitgöb; Markus Pauly; Ansgar Steland; et al. (Adv. Data Anal. Classif., 2022)

Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? - Lena Schmid; Alexander Gerharz; Andreas Groll; Markus Pauly (CoRR, 2022)

Estimating Gaussian Copulas with Missing Data. - Maximilian Kertel; Markus Pauly (CoRR, 2022)

On the Relation between Prediction and Imputation Accuracy under Missing Covariates. - Burim Ramosaj; Justus Tulowietzki; Markus Pauly (Entropy, 2022)

Estimating Gaussian Copulas with Missing Data with and without Expert Knowledge. - Maximilian Kertel; Markus Pauly (Entropy, 2022)

RODD: Robust Outlier Detection in Data Cubes. - Lara Kuhlmann; Daniel Wilmes; Emmanuel Müller; Markus Pauly; Daniel Horn (DaWaK, 2023)

Dataset Bias in Human Activity Recognition. - Nilah Ravi Nair; Lena Schmid; Fernando Moya Rueda; Markus Pauly; Gernot A. Fink; Christopher Reining (CoRR, 2023)

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study. - Lena Schmid; Moritz Roidl; Markus Pauly (CoRR, 2023)

The Self-Perception and Political Biases of ChatGPT. - Jérôme Rutinowski; Sven Franke; Jan Endendyk; Ina Dormuth; Markus Pauly (CoRR, 2023)

Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. - Lena Schmid; Alexander Gerharz; Andreas Groll; Markus Pauly (Comput. Stat. Data Anal., 2023)

Cluster-robust estimators for multivariate mixed-effects meta-regression. - Thilo Welz; Wolfgang Viechtbauer; Markus Pauly (Comput. Stat. Data Anal., 2023)

Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms. - Philip Buczak; Jian-Jia Chen; Markus Pauly (Entropy, 2023)

Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. - Maximilian Kertel; Stefan Harmeling; Markus Pauly; Nadja Klein (Int. J. Semantic Comput., 2023)

Estimation of a New Stress Strength Index for One Parameter Exponential Family. - Tulika Rudra Gupta; Markus Pauly; Somesh Kumar (IEEE Trans. Reliab., 2023)

Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes. - Nilah Ravi Nair; Lena Schmid; Christopher Reining; Fernando Moya Rueda; Markus Pauly; Gernot A. Fink (ICPR (15), 2024)

Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs. - Erik Weber; Jérôme Rutinowski; Markus Pauly (CoRR, 2024)

TREE: Tree Regularization for Efficient Execution. - Lena Schmid; Daniel Biebert; Christian Hakert; Kuan-Hsun Chen; Michel Lang; Markus Pauly; Jian-Jia Chen (CoRR, 2024)

AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. - Cabrel Teguemne Fokam; Carsten Jentsch; Michel Lang; Markus Pauly (CoRR, 2024)

Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases. - Erik Weber; Jérôme Rutinowski; Niklas Jost; Markus Pauly (CoRR, 2024)

Enhancing endangered species monitoring by lowering data entry requirements with imputation techniques as a preprocessing step for the footprint identification technology (FIT). - Frederick Kistner; Justus Tulowietzki; Larissa Slaney; Sky K. Alibhai; Zoe C. Jewell; Burim Ramosaj; Markus Pauly (Ecol. Informatics, 2024)

Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs. - Marléne Baumeister; Marc Ditzhaus; Markus Pauly (J. Multivar. Anal., 2024)

Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity. - Shreyashi Basak; Markus Pauly; Somesh Kumar (Comput. Stat., 2024)

Can ChatGPT Solve Undergraduate Exams from Warehousing Studies? An Investigation. - Sven Franke; Christoph Pott; Jérôme Rutinowski; Markus Pauly; Christopher Reining; Alice Kirchheim (Comput., 2025)

Human vs. Machines: Who wins in semiconductor market forecasting? - Louis Steinmeister; Markus Pauly (Expert Syst. Appl., 2025)

A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany. - Ina Dormuth; Sven Franke; Marlies Hafer; Tim Katzke; Alexander Marx 001; Emmanuel Müller; Daniel Neider; Markus Pauly; Jérôme Rutinowski (CoRR, 2025)

Robust confidence intervals for meta-regression with interaction effects. - Maria Thurow; Thilo Welz; Eric Knop; Tim Friede; Markus Pauly (Comput. Stat., 2025)

Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI. - Annika Bush; Meltem Aksoy; Markus Pauly; Greta Ontrup (CoRR, 2025)

Explainable anomaly detection for sound spectrograms using pooling statistics with quantile differences. - Nicolas Thewes; Philipp Steinhauer; Patrick Trampert; Markus Pauly; Georg Schneider 008 (CoRR, 2025)

Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach. - Philip Buczak; Daniel Horn; Markus Pauly (J. Classif., 2025)