Yurou Liang
Differentiable Learning of Non-Linear Directed Graphical Models
Masterarbeit
2024

Kian Saraf-Poor
Canonical Correlation Analysis with Optimal Transport
Masterarbeit
2024

Sarah Lumpp
Conditional Independence in Graphical Continuous Lyapunov Models
Masterarbeit
2023

Moritz Jaud
Integrating D-vine regression models and neural network approaches for conditional quantile estimation with financial application
Masterarbeit
2024

Richard Schwank
Robust Score Matching for Graphical Models
Masterarbeit
2024

Shuai Wang
Learning Polytree Models with Hidden Variables
Masterarbeit
2024

Rahul Radhakrishnan
Learning Graphical Lyapunov Models using Best-subset Selection Methods
Masterarbeit
2023

Ruixuan Zhu
Applying double machine learning and BART methods to the American Causal Inference Conference 2022 Data Challenge
Masterarbeit
2023

Imrane Tola
Modelling Yield Curves and Economic Factors using Vine and Factor Copula Models
Masterarbeit
2024

Binlan Wu
Graphical Modelling of Spinal Cord Injury Co-morbidities
2023