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Thesis/Theses examined by Schmid, Volker

Number of items: 4.

Rehms, Raphael (2025): Addressing uncertainty and complex data structures through Bayesian and classical approaches. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Schwaferts, Patrick (2022): Improving practical relevance of Bayes factors. 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

Weidemann, Felix (2015): Bayesian inference for infectious disease transmission models based on ordinary differential equations. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

This list was generated on Sun Nov 16 23:11:46 2025 CET.