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Thesis/Theses examined by Greven, Sonja

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Number of items: 5.

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

This list was generated on Thu Apr 15 21:49:49 2021 CEST.