| Unpaired multi-domain causal representation learning N Sturma, C Squires, M Drton, C Uhler Advances in Neural Information Processing Systems 36, 34465-34492, 2023 | 41 | 2023 |
| Half-trek criterion for identifiability of latent variable models RF Barber, M Drton, N Sturma, L Weihs The Annals of Statistics 50 (6), 3174-3196, 2022 | 22 | 2022 |
| Testing many constraints in possibly irregular models using incomplete U-statistics N Sturma, M Drton, D Leung Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 13* | 2024 |
| Algebraic sparse factor analysis M Drton, A Grosdos, I Portakal, N Sturma SIAM Journal on Applied Algebra and Geometry 9 (2), 279-309, 2025 | 6 | 2025 |
| Singularity-agnostic incomplete U-statistics for testing polynomial constraints in Gaussian covariance matrices D Leung, N Sturma arXiv preprint arXiv:2401.02112, 2024 | 3 | 2024 |
| Matching Criterion for Identifiability in Sparse Factor Analysis N Sturma, M Kranzlmueller, I Portakal, M Drton arXiv preprint arXiv:2502.02986, 2025 | 1 | 2025 |
| Mixtures of discrete decomposable graphical models Y Alexandr, JI Coons, N Sturma Algebraic Statistics 15 (2), 269-293, 2024 | 1 | 2024 |
| Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables N Sturma, M Drton arXiv preprint arXiv:2507.18170, 2025 | | 2025 |
| An analysis of causal relationships between electricity and fossil energy prices: Insights from Texas S Madadkhani, N Sturma, M Drton, S Ikonnikova 46th IAEE International Conference Paris 2025, 2025 | | 2025 |
| Identifiability and Statistical Inference in Latent Variable Modeling NB Sturma Technische Universität München, 2024 | | 2024 |
| Package ‘SEMID’ RF Barber, M Drton, L Weihs, N Sturma | | 2017 |
Mathias DrtonProfessor of Mathematical Statistics, Technical University of MunichVerified email at tum.de
