Variable selection for generalized linear mixed models by L 1-penalized estimation. - Andreas Groll; Gerhard Tutz 001 (Stat. Comput., 2014)

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)

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)

Deducing neighborhoods of classes from a fitted model. - Alexander Gerharz; Andreas Groll; Gunther Schauberger (CoRR, 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)

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)

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)

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)

Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features. - Andreas Groll; Carsten Wasserfuhr; Leonid Zeldin (CoRR, 2022)

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)

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)

A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts. - Andreas Groll; Akshat Khanna; Leonid Zeldin (CoRR, 2024)

A Newton-based variant of Exclusive Lasso for improved sparse solutions. - Dayasri Ravi; Andreas Groll (Comput. Stat., 2025)