Qisen Ma
Data Imputation for Monotone Missing Patterns Using a Parametric D-Vine Quantile Regression Approach
Masterarbeit
2025

Liwen Xue
Comparison of Quantile Regression Forest and D-vine Copula Based Quantile Regression
Masterarbeit
2024

Liang, Yurou; Zadorozhnyi, Oleksandr; Drton, Mathias
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
253-272
Proceedings of Machine Learning Research
Proceedings of The 12th International Conference on Probabilistic Graphical Models
ML Research Press
2024

Strieder, David; Drton, Mathias
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
213-230
Proceedings of Machine Learning Research
Proceedings of The 12th International Conference on Probabilistic Graphical Models
ML Research Press
2024

Fabian Bleile
Marginal Independence in Causal Modeling with Stationary Diffusions
Masterarbeit
2025

Tamara Rossol
Statistical Inference on Causal Effects in the Cross-Moment Approach
Masterarbeit
2025

Nisrina-Afnan Walyadin
Learning Latent Polytrees with Linear non-Gaussian models
Masterarbeit
2025

Hanebeck, Ariane ; Czado, Claudia
On the Observability of General Nonlinear Gaussian State Space Models Using Discrete Distributional Approximations
Journal of Advances in Information Fusion
2024
19
2
Dec
57-71

Sahin, Özge; Czado, Claudia
High-dimensional sparse vine copula regression with application to genomic prediction
Biometrics
2024
80
1
Mar

Alnasser, Hassan; Pfahler, Marco; Hanebeck, Ariane; Beller, Lukas; Czado, Claudia
D-Vine-Based Correction of Physics-Based Model Output for the Identification of Risky Flights With Respect to Runway Overruns
IEEE Access
2024
12
Aug
129173-129186