Tramontano, Daniele; Kivva, Yaroslav; Salehkaleybar, Saber; Drton, Mathias; Kiyavash, Negar
Causal Effect Identification in LiNGAM Models with Latent Confounders
Preprint
2024

Shi, Hongjian; Drton, Mathias
On universal inference in Gaussian mixture models
Preprint
2024

Boege, Tobias; Drton, Mathias; Hollering, Benjamin; Lumpp, Sarah; Misra, Pratik; Schkoda, Daniela
Conditional Independence in Stationary Diffusions
Preprint
2024

Schkoda, Daniela; Robeva, Elina; Drton, Mathias
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
Preprint
2024

Strieder, David; Drton, Mathias
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
Preprint
2024

Liang, Yurou; Zadorozhnyi, Oleksandr; Drton, Mathias
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
Preprint
2024

Talbut, Roan; Tramontano, Daniele; Cao, Yueqi; Drton, Mathias; Monod, Anthea
Probability Metrics for Tropical Spaces of Different Dimensions
Preprint
2023

Wang, Y. Samuel; Kolar, Mladen; Drton, Mathias
Confidence Sets for Causal Orderings
Preprint
2023

Drton, Mathias; Grosdos, Alexandros; Portakal, Irem; Sturma, Nils
Algebraic Sparse Factor Analysis
Preprint
2023

Tran, Ngoc Mai; Buck, Johannes; Klüppelberg, Claudia
Estimating a directed tree for extremes
Journal of the Royal Statistical Society Series B: Statistical Methodology
2024
86
3
Feb
771-792