Thesis/Theses examined by Greven, Sonja

Rügamer, David (2018): Estimation, model choice and subsequent inference: methods for additive and functional regression models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Köhler, Meike (2017): Flexible Bayesian joint models for longitudinal biomarkers and time-to-event outcomes with applications to type 1 diabetes research. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Cederbaum, Jona (2017): Functional linear mixed models for complex correlation structures and general sampling grids. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Happ, Clara Maria (2017): Statistical methods for data with different dimensions: multivariate functional PCA and scalar-on-image regression. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Brockhaus, Sarah (2016): Boosting functional regression models. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics