References in zbMATH (referenced in 13 articles , 1 standard article )

Showing results 1 to 13 of 13.
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  1. Groll, Andreas; Hambuckers, Julien; Kneib, Thomas; Umlauf, Nikolaus: LASSO-type penalization in the framework of generalized additive models for location, scale and shape (2019)
  2. Schlosser, Lisa; Hothorn, Torsten; Stauffer, Reto; Zeileis, Achim: Distributional regression forests for probabilistic precipitation forecasting in complex terrain (2019)
  3. Hothorn, Torsten; Möst, Lisa; Bühlmann, Peter: Most likely transformations (2018)
  4. Mayr, Andreas; Hofner, Benjamin: Boosting for statistical modelling-a non-technical introduction (2018)
  5. Ötting, Marius; Langrock, Roland; Deutscher, Christian: Integrating multiple data sources in match-fixing warning systems (2018)
  6. Schauberger, Gunther; Groll, Andreas: Predicting matches in international football tournaments with random forests (2018)
  7. Thomas, Janek; Mayr, Andreas; Bischl, Bernd; Schmid, Matthias; Smith, Adam; Hofner, Benjamin: Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates (2018)
  8. Waldmann, Elisabeth: Quantile regression: a short story on how and why (2018)
  9. Greven, Sonja; Scheipl, Fabian: A general framework for functional regression modelling (2017)
  10. Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian; Gefeller, Olaf: An update on statistical boosting in biomedicine (2017)
  11. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  12. Benjamin Hofner, Andreas Mayr, Matthias Schmid: gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework (2014) arXiv
  13. Kneib, Thomas: Beyond mean regression (2013)