An Update on Statistical Boosting in Biomedicine. - Andreas Mayr; 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; 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; Bernd Bischl (Comput. Math. Methods Medicine, 2018)

Erweiterung inferenzstatistischer Fähigkeiten modellbasierter Gradient-Boosting Algorithmen (Extending the inferential capabilities of model-based gradient boosting algorithms) - Tobias Hepp 001 (2019)

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 (BMC Bioinform., 2020)

Mixture density networks for the indirect estimation of reference intervals. - Tobias Hepp 001; Jakob Zierk; Manfred Rauh; Markus Metzler; Sarem Seitz (BMC Bioinform., 2022)

Adaptive step-length selection in gradient boosting for Gaussian location and scale models. - Boyao Zhang; Tobias Hepp 001; Sonja Greven; Elisabeth Bergherr (Comput. Stat., 2022)