Andreas Groll

According to our database, Andreas Groll authored at least 15 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The impact of random tree depth - a novel randomization process for ensemble methods.

Daniel Horn, Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Carsten Jentsch

Comput. Stat., January, 2026

2025

A Newton-based variant of Exclusive Lasso for improved sparse solutions.

Dayasri Ravi, Andreas Groll

Comput. Stat., September, 2025

Beschleunigung umweltpolitischer Entscheidungen durch verlässliche Daten und effiziente statistische Methoden.

Katja Ickstadt, Susanne Breitner-Busch, André Conrad, Andreas Diekmann, Christina Elmer, Simon Felgendreher, Roland Fried, Sarah Friedrich, Kateryna Fuks, Andreas Groll, Andreas N. Hense, Claudia Hornberg, Helmut Küchenhoff, Heinz Leitgöb, Friederike Paetz, Walter J. Radermacher, Simon Schürz, Kathrin Wolf

AStA Wirtschafts und Sozialstatistisches Arch., September, 2025

2024

A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts.

Andreas Groll, Akshat Khanna, Leonid Zeldin

CoRR, 2024

Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches.

Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Jonas Sternemann, Gunther Schauberger, Achim Zeileis

CoRR, 2024

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

2022

Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features.

Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin

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

2021

Hybrid Machine Learning Forecasts for the UEFA EURO 2020.

Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Franziska Popp, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis

CoRR, 2021

2020

Generalised joint regression for count data: a penalty extension for competitive settings.

Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice

Stat. Comput., 2020

Random boosting and random^2 forests - A random tree depth injection approach.

Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch

CoRR, 2020

Deducing neighborhoods of classes from a fitted model.

Alexander Gerharz, Andreas Groll, Gunther Schauberger

CoRR, 2020

2019

LASSO-type penalization in the framework of generalized additive models for location, scale and shape.

Andreas Groll, Julien Hambuckers, Thomas Kneib, Nikolaus Umlauf

Comput. Stat. Data Anal., 2019

Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019.

Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis

CoRR, 2019

2014

Variable selection for generalized linear mixed models by L 1-penalized estimation.

Andreas Groll, Gerhard Tutz

Stat. Comput., 2014