Technical Reports / Arbeitsberichte

[1] Anne-Laure Boulesteix and Torsten Hothorn. Testing the additional predictive value of high-dimensional molecular data, September 2009. [ bib | http ]
[2] Nora Fenske, Thomas Kneib, and Torsten Hothorn. Identifying risk factors for severe childhood malnutrition by boosting additive quantile regression, April 2009. [ bib | http ]
[3] Matthias Schmid, Sergej Potapov, Annette Pfahlberg, and Torsten Hothorn. Estimation and regularization techniques for regression models with multidimensional prediction functions, November 2008. [ bib | http ]
[4] Benjamin Hofner, Torsten Hothorn, and Thomas Kneib. Variable selection and model choice in structured survival models, November 2008. [ bib | http ]
[5] Manuel J. A. Eugster, Torsten Hothorn, and Friedrich Leisch. Exploratory and inferential analysis of benchmark experiments. Technical Report 30, Institut für Statistik, Ludwig-Maximilians-Universität München, Mai 2008. [ bib | http ]
[6] Matthias Schmid and Torsten Hothorn. Flexible boosting of accelerated failure time models. Technical Report 18, Institut für Statistik, Ludwig-Maximilians-Universität München, February 2008. [ bib | http ]
[7] Torsten Hothorn, Frank Bretz, and Peter Westfall. Simultaneous inference in general parametric models. Technical Report 19, Institut für Statistik, Ludwig-Maximilians-Universität München, February 2008. [ bib | http ]
[8] Matthias Schmid and Torsten Hothorn. Boosting additive models using component-wise P-splines as base-learners. Technical Report 2, Institut für Statistik, Ludwig-Maximilians-Universität München, November 2007. [ bib | http ]
[9] Thomas Kneib, Torsten Hothorn, and Gerhard Tutz. Variable selection and model choice in geoadditive regression models. Technical Report 3, Institut für Statistik, Ludwig-Maximilians-Universität München, November 2007. [ bib | http ]
[10] Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel, and Achim Zeileis. Implementing a class of permutation tests: The coin package. Report 55, Department of Statistics and Mathematics, Wirtschaftsuniversität Wien, Research Report Series, July 2007. [ bib | http ]
[11] Torsten Hothorn and Achim Zeileis. Generalized maximally selected statistics. Report 52, Department of Statistics and Mathematics, Wirtschaftsuniversität Wien, Research Report Series, April 2007. [ bib | http ]
[12] Achim Zeileis and Torsten Hothorn. Permutation tests for structural change. Report 43, Department of Statistics and Mathematics, Wirtschaftsuniversität Wien, Research Report Series, December 2006. [ bib | http ]
[13] Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, and Torsten Hothorn. Bias in random forest variable importance measures: Illustrations, sources and a solution, 2006. [ bib | .pdf ]
[14] Thomas Kneib, Jörg Müller, and Torsten Hothorn. Spatial smoothing techniques for the assessment of habitat suitability, 2006. [ bib | .pdf ]
[15] Achim Zeileis, Torsten Hothorn, and Kurt Hornik. Model-based recursive partitioning, 2005. [ bib | http ]
[16] Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel, and A. Zeileis. A lego-system for conditional inference, 2005. [ bib | http ]
[17] Torsten Hothorn, Kurt Hornik, and Achim Zeileis. Unbiased recursive partitioning: A conditional inference framework, 2004. [ bib | http ]
[18] Torsten Hothorn, Peter Bühlmann, Sandrine Dudoit, Annette Molinaro, and Mark J. van der Laan. Survival ensembles, 2004. [ bib | http ]
[19] Torsten Hothorn, Friedrich Leisch, Achim Zeileis, and Kurt Hornik. The design and analysis of benchmark experiments, 2003. [ bib | http ]
[20] Claus Weihs and Torsten Hothorn. Determination of optimal prediction oriented multivariate latent factor models using loss functions, 2002. [ bib | .ps ]
[21] Torsten Hothorn and Ulrich Munzel. Exact nonparametric confidence intervals for the ratio of medians, 2002. [ bib | .ps ]

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