Benedikt Simon Flierl
D-Vine Quantile Regression Based Multiple Imputation Using a Fully Conditional Specification Approach with Applications to ESG Data
Masterarbeit
2025

Melanie Hug
Estimation in linear non-Gaussian causal models under general confounding
Masterarbeit
2024

Brian Zeiser Dietrich
Y-Vine Copula Based Structure Learning for Continuous Bayesian Networks
Masterarbeit
2024

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

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

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

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

Bijan Rad
Graphical models for mixed data - Analysis and evaluation of the current state-of-the-art
2023