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Andreas Groll
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2020 – today
- 2024
- [i7]Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Jonas Sternemann, Gunther Schauberger, Achim Zeileis:
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches. CoRR abs/2410.09068 (2024) - 2023
- [j4]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) - 2022
- [i6]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) - [i5]Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin:
Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features. CoRR abs/2202.09182 (2022) - 2021
- [i4]Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Franziska Popp, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis:
Hybrid Machine Learning Forecasts for the UEFA EURO 2020. CoRR abs/2106.05799 (2021) - 2020
- [j3]Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice:
Generalised joint regression for count data: a penalty extension for competitive settings. Stat. Comput. 30(5): 1419-1432 (2020) - [i3]Alexander Gerharz, Andreas Groll, Gunther Schauberger:
Deducing neighborhoods of classes from a fitted model. CoRR abs/2009.05516 (2020) - [i2]Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch:
Random boosting and random^2 forests - A random tree depth injection approach. CoRR abs/2009.06078 (2020)
2010 – 2019
- 2019
- [j2]Andreas Groll, Julien Hambuckers, Thomas Kneib, Nikolaus Umlauf:
LASSO-type penalization in the framework of generalized additive models for location, scale and shape. Comput. Stat. Data Anal. 140: 59-73 (2019) - [i1]Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis:
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. CoRR abs/1906.01131 (2019) - 2014
- [j1]Andreas Groll, Gerhard Tutz:
Variable selection for generalized linear mixed models by L 1-penalized estimation. Stat. Comput. 24(2): 137-154 (2014)
Coauthor Index
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last updated on 2024-11-25 23:39 CET by the dblp team
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