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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 11 .

Hochschulschrift

Mayr, Andreas (2010): Prediction Inference with Ensemble Methods. Diplomarbeit, Ludwig-Maximilians-Universität München
[PDF, 3MB]

Zeitschriftenartikel

Mayr, Andreas; Schmid, Matthias (2014): Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations.
In: PLOS ONE 9(1), e84483

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora; Mayr, Andreas (2013): Boosted Beta regression.
In: PloS one 8(4), e61623 [PDF, 1MB]

Schmid, Matthias; Wickler, Florian; Maloney, Kelly O.; Mitchell, Richard; Fenske, Nora; Mayr, Andreas (2013): Boosted beta regression.
In: PLOS ONE 8(4), e61623

Mayr, Andreas; Hothorn, Torsten; Fenske, Nora: Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting. In: BMC Medical Research Methodology 2012, 12:6 [PDF, 770kB]

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias (2012): Model-based boosting in R: a hands-on tutorial using the R package mboost. In: Computational Statistics: S. 1-33

Mayr, Andreas; Hothorn, Torsten; Fenske, Nora (2012): Prediction intervals for future BMI values of individual children - A non-parametric approach by quantile boosting. In: BMC Medical Research Methodology, Vol. 12: S. 6

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas; Schmid, Matthias (2012): Generalized additive models for location scale and shape for high-dimensional data - a flexible approach based on boosting. In: Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 61: S. 403-427

Paper

Groll, Andreas; Kneib, Thomas; Mayr, Andreas; Schauberger, Gunther (22. Juli 2016): Who’s the Favourite? – A Bivariate Poisson Model for the UEFA European Football Championship 2016. Department of Statistics: Technical Reports, Nr. 195 [PDF, 588kB]

Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias (14. Februar 2012): Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost. Department of Statistics: Technical Reports, Nr. 120 [PDF, 784kB]

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas; Schmid, Matthias (13. Dezember 2010): GAMLSS for high-dimensional data – a flexible approach based on boosting. Department of Statistics: Technical Reports, Nr. 98 [PDF, 2MB]

Diese Liste wurde am Wed Feb 22 05:47:07 2017 CET erstellt.