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Number of items: **9**.

Jansen, Christoph (2018): Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences: theoretical and algorithmic results. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Fink, Paul (2018): Contributions to reasoning on imprecise data: imprecise classification trees, generalized linear regression on microaggregated data and imprecise imputation. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Plaß, Julia (2018): Statistical modelling of categorical data under ontic and epistemic imprecision: contributions to power set based analyses, cautious likelihood inference and (non-)testability of coarsening mechanisms. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schollmeyer, Georg (2017): Reliable statistical modeling of weakly structured information: contributions to partial identification, stochastic partial ordering and imprecise probabilities. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Wiencierz, Andrea (2013): Regression analysis with imprecise data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Walter, Gero (2013): Generalized Bayesian inference under prior-data conflict. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Hable, Robert (2009): Data-Based Decisions under Complex Uncertainty. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Strobl, Carolin (2008): Statistical Issues in Machine Learning: Towards Reliable Split Selection and Variable Importance Measures. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Rummel, David (2006): Correction for covariate measurement error in nonparametric regression. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics