Markus Pauly

According to our database, Markus Pauly authored at least 40 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Human vs. Machines: Who wins in semiconductor market forecasting?

Louis Steinmeister, Markus Pauly

Expert Syst. Appl., 2025

2024

Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity.

Shreyashi Basak, Markus Pauly, Somesh Kumar

Comput. Stat., April, 2024

Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs.

Marléne Baumeister, Marc Ditzhaus, Markus Pauly

J. Multivar. Anal., 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

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

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

TREE: Tree Regularization for Efficient Execution.

Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen

CoRR, 2024

Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs.

Erik Weber, Jérôme Rutinowski, Markus Pauly

CoRR, 2024

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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Estimation of a New Stress Strength Index for One Parameter Exponential Family.

Tulika Rudra Gupta, Markus Pauly, Somesh Kumar

IEEE Trans. Reliab., December, 2023

Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models.

Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein

Int. J. Semantic Comput., December, 2023

Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms.

Philip Buczak, Jian-Jia Chen, Markus Pauly

Entropy, March, 2023

Cluster-robust estimators for multivariate mixed-effects meta-regression.

Thilo Welz, Wolfgang Viechtbauer, Markus Pauly

Comput. Stat. Data Anal., 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

The Self-Perception and Political Biases of ChatGPT.

Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly

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

Dataset Bias in Human Activity Recognition.

Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining

CoRR, 2023

RODD: Robust Outlier Detection in Data Cubes.

Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022

Estimating Gaussian Copulas with Missing Data with and without Expert Knowledge.

Maximilian Kertel, Markus Pauly

Entropy, December, 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.

Maximilian Kertel, Markus Pauly

CoRR, 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

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, Adalbert F. X. Wilhelm, Tim Friede

Adv. Data Anal. Classif., 2022

Learning Causal Graphs in Manufacturing Domains using Structural Equation Models.

Maximilian Kertel, Stefan Harmeling, Markus Pauly

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021

pRSL: Interpretable multi-label stacking by learning probabilistic rules.

Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing.

Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly

Proceedings of the Computational Logistics - 12th International Conference, 2021

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

A cautionary tale on using imputation methods for inference in matched-pairs design.

Burim Ramosaj, Lubna Amro, Markus Pauly

Bioinform., 2020

Travel Time Prediction Using Tree-Based Ensembles.

He Huang, Martin Pouls, Anne Meyer, Markus Pauly

Proceedings of the Computational Logistics - 11th International Conference, 2020

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

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

Predicting missing values: a comparative study on non-parametric approaches for imputation.

Burim Ramosaj, Markus Pauly

Comput. Stat., 2019

Wild bootstrap logrank tests with broader power functions for testing superiority.

Marc Ditzhaus, Markus Pauly

Comput. Stat. Data Anal., 2019

Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models.

Burim Ramosaj, Markus Pauly

CoRR, 2019

2018

MATS: Inference for potentially singular and heteroscedastic MANOVA.

Sarah Friedrich, Markus Pauly

J. Multivar. Anal., 2018

2017

Permuting longitudinal data in spite of the dependencies.

Sarah Friedrich, Edgar Brunner, Markus Pauly

J. Multivar. Anal., 2017

A wild bootstrap approach for nonparametric repeated measurements.

Sarah Friedrich, Frank Konietschke, Markus Pauly

Comput. Stat. Data Anal., 2017

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

Proceedings of the 2017 IEEE World Haptics Conference, 2017

2015

Parametric and nonparametric bootstrap methods for general MANOVA.

Frank Konietschke, Arne C. Bathke, Solomon W. Harrar, Markus Pauly

J. Multivar. Anal., 2015

2014

Bootstrapping and permuting paired t-test type statistics.

Frank Konietschke, Markus Pauly

Stat. Comput., 2014