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2020 – today
- 2025
[j25]Sven Franke
, Christoph Pott, Jérôme Rutinowski, Markus Pauly, Christopher Reining, Alice Kirchheim:
Can ChatGPT Solve Undergraduate Exams from Warehousing Studies? An Investigation. Comput. 14(2): 52 (2025)- [j24]Maria Thurow, Thilo Welz, Eric Knop, Tim Friede, Markus Pauly:
Robust confidence intervals for meta-regression with interaction effects. Comput. Stat. 40(3): 1337-1360 (2025) - [j23]Louis Steinmeister, Markus Pauly:
Human vs. Machines: Who wins in semiconductor market forecasting? Expert Syst. Appl. 263: 125719 (2025) - [i17]Ina Dormuth, Sven Franke, Marlies Hafer, Tim Katzke, Alexander Marx, Emmanuel Müller, Daniel Neider, Markus Pauly, Jérôme Rutinowski:
A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany. CoRR abs/2502.15568 (2025) - 2024
- [j22]Shreyashi Basak, Markus Pauly, Somesh Kumar:
Adaptive tests for ANOVA in Fisher-von Mises-Langevin populations under heteroscedasticity. Comput. Stat. 39(2): 433-459 (2024) - [j21]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: 102676 (2024) - [j20]Marléne Baumeister, Marc Ditzhaus, Markus Pauly:
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs. J. Multivar. Anal. 199: 105246 (2024) - [c7]Nilah Ravi Nair, Lena Schmid, Christopher Reining, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink:
Representation Biases in Time-Series Human Activity Recognition with Small Sample Sizes. ICPR (15) 2024: 33-48 - [i16]Erik Weber, Jérôme Rutinowski, Markus Pauly:
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs. CoRR abs/2402.04110 (2024) - [i15]Lena Schmid, Daniel Biebert, Christian Hakert, Kuan-Hsun Chen, Michel Lang, Markus Pauly, Jian-Jia Chen:
TREE: Tree Regularization for Efficient Execution. CoRR abs/2406.12531 (2024) - [i14]Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly:
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. CoRR abs/2410.00942 (2024) - [i13]Erik Weber, Jérôme Rutinowski, Niklas Jost, Markus Pauly:
Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases. CoRR abs/2410.21008 (2024) - 2023
- [j19]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: 107628 (2023) - [j18]Thilo Welz, Wolfgang Viechtbauer, Markus Pauly:
Cluster-robust estimators for multivariate mixed-effects meta-regression. Comput. Stat. Data Anal. 179: 107631 (2023) - [j17]Philip Buczak, Jian-Jia Chen, Markus Pauly:
Analyzing the Effect of Imputation on Classification Performance under MCAR and MAR Missing Mechanisms. Entropy 25(3): 521 (2023) - [j16]Maximilian Kertel, Stefan Harmeling, Markus Pauly, Nadja Klein:
Learning Causal Graphs in Manufacturing Domains Using Structural Equation Models. Int. J. Semantic Comput. 17(4): 511-528 (2023) - [j15]Tulika Rudra Gupta, Markus Pauly, Somesh Kumar:
Estimation of a New Stress Strength Index for One Parameter Exponential Family. IEEE Trans. Reliab. 72(4): 1466-1477 (2023) - [c6]Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn:
RODD: Robust Outlier Detection in Data Cubes. DaWaK 2023: 325-339 - [i12]Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda, Markus Pauly, Gernot A. Fink, Christopher Reining:
Dataset Bias in Human Activity Recognition. CoRR abs/2301.10161 (2023) - [i11]Lena Schmid, Moritz Roidl, Markus Pauly:
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - A simulation study. CoRR abs/2303.07139 (2023) - [i10]Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn:
RODD: Robust Outlier Detection in Data Cubes. CoRR abs/2303.08193 (2023) - [i9]Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Markus Pauly:
The Self-Perception and Political Biases of ChatGPT. CoRR abs/2304.07333 (2023) - 2022
- [j14]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): 823-846 (2022) - [j13]Burim Ramosaj, Justus Tulowietzki, Markus Pauly:
On the Relation between Prediction and Imputation Accuracy under Missing Covariates. Entropy 24(3): 386 (2022) - [j12]Maximilian Kertel, Markus Pauly:
Estimating Gaussian Copulas with Missing Data with and without Expert Knowledge. Entropy 24(12): 1849 (2022) - [c5]Maximilian Kertel, Stefan Harmeling, Markus Pauly:
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. AI4I 2022: 14-19 - [i8]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 abs/2201.05340 (2022) - [i7]Maximilian Kertel, Markus Pauly:
Estimating Gaussian Copulas with Missing Data. CoRR abs/2201.05565 (2022) - [i6]Maximilian Kertel, Stefan Harmeling, Markus Pauly:
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. CoRR abs/2210.14573 (2022) - 2021
- [c4]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing. ICCL 2021: 163-177 - [c3]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
pRSL: Interpretable multi-label stacking by learning probabilistic rules. UAI 2021: 461-470 - [i5]Michael Kirchhof, Lena Schmid, Christopher Reining, Michael ten Hompel, Markus Pauly:
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules. CoRR abs/2105.13850 (2021) - [i4]Burim Ramosaj, Justus Tulowietzki, Markus Pauly:
On the Relation between Prediction and Imputation Accuracy under Missing Covariates. CoRR abs/2112.05248 (2021) - 2020
- [j11]Burim Ramosaj, Lubna Amro, Markus Pauly:
A cautionary tale on using imputation methods for inference in matched-pairs design. Bioinform. 36(10): 3099-3106 (2020) - [j10]Georg Zimmermann, Markus Pauly, Arne C. Bathke:
Multivariate analysis of covariance with potentially singular covariance matrices and non-normal responses. J. Multivar. Anal. 177: 104594 (2020) - [c2]He Huang, Martin Pouls, Anne Meyer, Markus Pauly:
Travel Time Prediction Using Tree-Based Ensembles. ICCL 2020: 412-427 - [i3]He Huang, Martin Pouls, Anne Meyer, Markus Pauly:
Travel Time Prediction using Tree-Based Ensembles. CoRR abs/2005.13818 (2020) - [i2]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 abs/2009.09070 (2020)
2010 – 2019
- 2019
- [j9]Marc Ditzhaus, Markus Pauly:
Wild bootstrap logrank tests with broader power functions for testing superiority. Comput. Stat. Data Anal. 136: 1-11 (2019) - [j8]Burim Ramosaj, Markus Pauly:
Predicting missing values: a comparative study on non-parametric approaches for imputation. Comput. Stat. 34(4): 1741-1764 (2019) - [j7]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: 176-192 (2019) - [j6]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): 380 (2019) - [i1]Burim Ramosaj, Markus Pauly:
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models. CoRR abs/1912.03306 (2019) - 2018
- [j5]Sarah Friedrich, Markus Pauly:
MATS: Inference for potentially singular and heteroscedastic MANOVA. J. Multivar. Anal. 165: 166-179 (2018) - 2017
- [j4]Sarah Friedrich, Frank Konietschke, Markus Pauly:
A wild bootstrap approach for nonparametric repeated measurements. Comput. Stat. Data Anal. 113: 38-52 (2017) - [j3]Sarah Friedrich, Edgar Brunner, Markus Pauly:
Permuting longitudinal data in spite of the dependencies. J. Multivar. Anal. 153: 255-265 (2017) - [c1]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: 201-206 - 2015
- [j2]Frank Konietschke, Arne C. Bathke, Solomon W. Harrar, Markus Pauly:
Parametric and nonparametric bootstrap methods for general MANOVA. J. Multivar. Anal. 140: 291-301 (2015) - 2014
- [j1]Frank Konietschke, Markus Pauly:
Bootstrapping and permuting paired t-test type statistics. Stat. Comput. 24(3): 283-296 (2014)
Coauthor Index
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