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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 19 .

Zeitschriftenartikel

Wahl, Simone; Fenske, Nora; Zeilinger, Sonja; Suhre, Karsten; Gieger, Christian; Waldenberger, Melanie; Grallert, Harald; Schmid, Matthias: On the potential of models for location and scale for genome-wide DNA methylation data. In: BMC Bioinformatics 2014, 15:232 [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 [PDF, 1MB]

Schmid, Matthias; Hothorn, Torsten; Krause, Friedemann; Rabe, Christina (2012): A PAUC-based Estimation Technique for Disease Classification and Biomarker Selection. In: Statistical Applications in Genetics and Molecular Biology, Vol. 11, Nr. 5: S. 1-24 [PDF, 446kB]

Schmid, Matthias; Hothorn, Torsten: Flexible boosting of accelerated failure time models. In: BMC Bioinformatics 2008, 9:269 [PDF, 385kB]

Paper

Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure; Schmid, Matthias (9. Januar 2015): The Residual-based Predictiveness Curve - A Visual Tool to Assess the Performance of Prediction Models. Department of Statistics: Technical Reports, Nr. 178 [PDF, 1MB]

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]

Schmid, Matthias; Hothorn, Torsten; Maloney, K. O.; Weller, D. E.; Potapov, Sergej (2010): Geoadditive Regression Modeling of Stream Biological Condition. Department of Statistics: Technical Reports, Nr. 86 [PDF, 6MB]

Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas; Schmid, Matthias (10. Dezember 2009): A Framework for Unbiased Model Selection Based on Boosting. Department of Statistics: Technical Reports, Nr. 72 [PDF, 914kB]

Schmid, Matthias; Potapov, Sergej; Pfahlberg, Annette; Hothorn, Torsten (24. November 2008): Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions. Department of Statistics: Technical Reports, Nr. 42 [PDF, 756kB]

Schmid, Matthias; Schneeweiß, Hans (4. April 2008): The Effect of Microaggregation by Individual Ranking on the Estimation of Moments. Department of Statistics: Technical Reports, Nr. 25 [PDF, 402kB]

Schmid, Matthias; Hothorn, Torsten (2008): Flexible Boosting of Accelerated Failure Time Models. Department of Statistics: Technical Reports, Nr. 18 [PDF, 378kB]

Schmid, Matthias; Hothorn, Torsten (2007): Boosting Additive Models using Component-wise P-Splines. Department of Statistics: Technical Reports, Nr. 2 [PDF, 483kB]

Schmid, Matthias (2006): The Effect of Single-Axis Sorting on the Estimation of a Linear Regression. Sonderforschungsbereich 386, Discussion Paper 472 [PDF, 290kB]

Schmid, Matthias; Schneeweiß, Hans; Küchenhoff, Helmut (2005): Consistent Estimation of a Simple Linear Model Under Microaggregation. Sonderforschungsbereich 386, Discussion Paper 415 [PDF, 421kB]

Schmid, Matthias; Schneeweiß, Hans; Küchenhoff, Helmut (2005): Statistical Inference in a Simple Linear Model Under Microaggregation. Sonderforschungsbereich 386, Discussion Paper 416 [PDF, 352kB]

Schmid, Matthias; Schneeweiß, Hans (2005): The Effect of Microaggregation Procedures on the Estimation of Linear Models: A Simulation Study. Sonderforschungsbereich 386, Discussion Paper 443 [PDF, 369kB]

Schmid, Matthias (2005): Estimation of a Linear Model under Microaggregation by Individual Ranking. Sonderforschungsbereich 386, Discussion Paper 453 [PDF, 286kB]

Schmid, Matthias; Schneeweiß, Hans (2005): Estimation of a Linear Regression under Microaggregation with the Response Variable as a Sorting Variable. Sonderforschungsbereich 386, Discussion Paper 462 [PDF, 282kB]

Diese Liste wurde am Sat Dec 3 10:45:01 2016 CET erstellt.