Tobias Hepp

According to our database, Tobias Hepp authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Adaptive step-length selection in gradient boosting for Gaussian location and scale models.

Boyao Zhang, Tobias Hepp, Sonja Greven, Elisabeth Bergherr

Comput. Stat., 2022

Mixture density networks for the indirect estimation of reference intervals.

Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Sarem Seitz

BMC Bioinform., 2022

2020

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.

Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr

BMC Bioinform., 2020

2019

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

Tobias Hepp

PhD thesis, 2019

2018

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".

Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl

Comput. Math. Methods Medicine, 2018

2017

Probing for Sparse and Fast Variable Selection with Model-Based Boosting.

Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl

Comput. Math. Methods Medicine, 2017

An Update on Statistical Boosting in Biomedicine.

Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller

Comput. Math. Methods Medicine, 2017