Markus Pauly

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 41

Top Topics

Repeated Measures

Multivariate Data

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

Publications

Erik Weber, Jérôme Rutinowski, Markus Pauly
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs. CoRR (2024)
Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen
TREE: Tree Regularization for Efficient Execution. CoRR (2024)
Shreyashi Basak, Markus Pauly, Somesh Kumar
Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity. Comput. Stat. 39 (2) (2024)
Frederick Kistner, Justus Tulowietzki, Larissa Slaney, Sky K. Alibhai, Zoe C. Jewell, Burim Ramosaj, Markus Pauly
Enhancing endangered species monitoring by lowering data entry requirements with imputation techniques as a preprocessing step for the footprint identification technology (FIT). Ecol. Informatics 82 (2024)
Marléne Baumeister, Marc Ditzhaus, Markus Pauly
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs. J. Multivar. Anal. 199 (2024)
Lena Schmid, Moritz Roidl, Markus Pauly
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study. CoRR (2023)
Tulika Rudra Gupta, Markus Pauly, Somesh Kumar
Estimation of a New Stress Strength Index for One Parameter Exponential Family. IEEE Trans. Reliab. 72 (4) (2023)
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. DaWaK (2023)
Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining
Dataset Bias in Human Activity Recognition. CoRR (2023)
Thilo Welz, Wolfgang Viechtbauer, Markus Pauly
Cluster-robust estimators for multivariate mixed-effects meta-regression. Comput. Stat. Data Anal. 179 (2023)
Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein
Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. Int. J. Semantic Comput. 17 (4) (2023)
Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly
The Self-Perception and Political Biases of ChatGPT. CoRR (2023)
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. CoRR (2023)
Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. Comput. Stat. Data Anal. 179 (2023)
Philip Buczak, Jian-Jia Chen, Markus Pauly
Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms. Entropy 25 (3) (2023)
Maximilian Kertel, Markus Pauly
Estimating Gaussian Copulas with Missing Data with and without Expert Knowledge. Entropy 24 (12) (2022)
Maximilian Kertel, Stefan Harmeling, Markus Pauly
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. CoRR (2022)
Maximilian Kertel, Markus Pauly
Estimating Gaussian Copulas with Missing Data. CoRR (2022)
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, Adalbert F. X. Wilhelm, Tim Friede
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16 (4) (2022)
Burim Ramosaj, Justus Tulowietzki, Markus Pauly
On the Relation between Prediction and Imputation Accuracy under Missing Covariates. Entropy 24 (3) (2022)
Maximilian Kertel, Stefan Harmeling, Markus Pauly
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. AI4I (2022)
Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? CoRR (2022)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. ICCL (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. CoRR (2021)
Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly
pRSL: Interpretable multi-label stacking by learning probabilistic rules. UAI (2021)
Burim Ramosaj, Justus Tulowietzki, Markus Pauly
On the Relation between Prediction and Imputation Accuracy under Missing Covariates. CoRR (2021)
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, Adalbert F. X. Wilhelm, Tim Friede
Is there a role for statistics in artificial intelligence? CoRR (2020)
Georg Zimmermann, Markus Pauly, Arne C. Bathke
Multivariate analysis of covariance with potentially singular covariance matrices and non-normal responses. J. Multivar. Anal. 177 (2020)
He Huang, Martin Pouls, Anne Meyer, Markus Pauly
Travel Time Prediction Using Tree-Based Ensembles. ICCL (2020)
Burim Ramosaj, Lubna Amro, Markus Pauly
A cautionary tale on using imputation methods for inference in matched-pairs design. Bioinform. 36 (10) (2020)
He Huang, Martin Pouls, Anne Meyer, Markus Pauly
Travel Time Prediction using Tree-Based Ensembles. CoRR (2020)
Burim Ramosaj, Markus Pauly
Predicting missing values: a comparative study on non-parametric approaches for imputation. Comput. Stat. 34 (4) (2019)
Burim Ramosaj, Markus Pauly
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models. CoRR (2019)
Maria Umlauft, Marius Placzek, Frank Konietschke, Markus Pauly
Wild bootstrapping rank-based procedures: Multiple testing in nonparametric factorial repeated measures designs. J. Multivar. Anal. 171 (2019)
Sarah Friedrich, Frank Konietschke, Markus Pauly
Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM. R J. 11 (2) (2019)
Marc Ditzhaus, Markus Pauly
Wild bootstrap logrank tests with broader power functions for testing superiority. Comput. Stat. Data Anal. 136 (2019)
Sarah Friedrich, Markus Pauly
MATS: Inference for potentially singular and heteroscedastic MANOVA. J. Multivar. Anal. 165 (2018)
Frank Beruscha, Wolfgang Krautter, Anja Lahmer, Markus Pauly
An evaluation of the influence of haptic feedback on gaze behavior during in-car interaction with touch screens. WHC (2017)
Sarah Friedrich, Edgar Brunner, Markus Pauly
Permuting longitudinal data in spite of the dependencies. J. Multivar. Anal. 153 (2017)
Sarah Friedrich, Frank Konietschke, Markus Pauly
A wild bootstrap approach for nonparametric repeated measurements. Comput. Stat. Data Anal. 113 (2017)
Frank Konietschke, Arne C. Bathke, Solomon W. Harrar, Markus Pauly
Parametric and nonparametric bootstrap methods for general MANOVA. J. Multivar. Anal. 140 (2015)
Frank Konietschke, Markus Pauly
Bootstrapping and permuting paired t-test type statistics. Stat. Comput. 24 (3) (2014)