Model-based boosting in R: a hands-on tutorial using the R package mboost. - Benjamin Hofner; Andreas Mayr 001; Nikolay Robinzonov; Matthias Schmid (Comput. Stat., 2014)

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection. - Andreas Mayr 001; Benjamin Hofner; Matthias Schmid (BMC Bioinform., 2016)

Predictive Modelling Based on Statistical Learning in Biomedicine. - Olaf Gefeller; Benjamin Hofner; Andreas Mayr 001; Elisabeth Waldmann (Comput. Math. Methods Medicine, 2017)

An Update on Statistical Boosting in Biomedicine. - Andreas Mayr 001; Benjamin Hofner; Elisabeth Waldmann; Tobias Hepp 001; Sebastian Meyer 003; Olaf Gefeller (Comput. Math. Methods Medicine, 2017)

Probing for Sparse and Fast Variable Selection with Model-Based Boosting. - Janek Thomas; Tobias Hepp 001; Andreas Mayr 001; Bernd Bischl (Comput. Math. Methods Medicine, 2017)

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting". - Janek Thomas; Tobias Hepp 001; Andreas Mayr 001; Bernd Bischl (Comput. Math. Methods Medicine, 2018)

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. - Janek Thomas; Andreas Mayr 001; Bernd Bischl; Matthias Schmid; Adam Smith; Benjamin Hofner (Stat. Comput., 2018)

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources. - Tobias Hepp 001; Jakob Zierk; Manfred Rauh; Markus Metzler; Andreas Mayr 001 (BMC Bioinform., 2020)

RefCurv: A software for the construction of pediatric reference curves. - Christian Winkler; Katharina Linden; Andreas Mayr 001; Thomas Schultz 001; Thomas Welchowski; Johannes Breuer; Ulrike Herberg (Softw. Impacts, 2020)

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction. - Christian Staerk; Andreas Mayr 001 (BMC Bioinform., 2021)

Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. - Chiara Balestra; Florian Huber; Andreas Mayr 001; Emmanuel Müller (DaWaK, 2022)

GenRisk: a tool for comprehensive genetic risk modeling. - Rana Aldisi; Emadeldin Hassanin; Sugirthan Sivalingam; Andreas Buness; Hannah Klinkhammer; Andreas Mayr 001; Holger Fröhlich; Peter M. Krawitz; Carlo Maj (Bioinform., 2022)

Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis. - Chiara Balestra; Carlo Maj; Emmanuel Müller; Andreas Mayr 001 (CoRR, 2022)

Redundancy-aware unsupervised rankings for collections of gene sets. - Chiara Balestra; Carlo Maj; Emmanuel Müller; Andreas Mayr 001 (CoRR, 2023)

Ranking evaluation metrics from a group-theoretic perspective. - Chiara Balestra; Andreas Mayr 001; Emmanuel Müller (CoRR, 2024)

A balanced statistical boosting approach for GAMLSS via new step lengths. - Alexandra Daub; Andreas Mayr 001; Boyao Zhang; Elisabeth Bergherr (Comput. Stat., 2025)

Robust gradient boosting for generalized additive models for location, scale and shape. - Jan Speller; Christian Staerk; Francisco Gude; Andreas Mayr 001 (Adv. Data Anal. Classif., 2026)