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Number of items: **11**.

Schneider, Micha (2019): Finite mixtures for the modelling of heterogeneity in ordinal response. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Fuchs, Karen (2017): Functional data analysis methods for the evaluation of sensor signals. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Berger, Moritz (2016): On the detection of latent structures in categorical data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schauberger, Gunther (2015): Regularization methods for item response and paired comparison models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Oelker, Margret-Ruth (2015): Penalized regression for discrete structures. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Möst, Stephanie (2014): Regularization in discrete survival models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Heinzl, Felix (2013): Clustering in linear and additive mixed models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Petry, Sebastian (2011): Regularization approaches for generalized linear models and single index models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Reithinger, Florian (2006): Mixed models based on likelihood boosting. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Hechenbichler, Klaus (2005): Ensemble-Techniken und ordinale Klassifikation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Boulesteix, Anne-Laure (2005): Dimension reduction and Classification with High-Dimensional Microarray Data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics