M.Sc. David Strieder
Technical University of Munich
Chair of Mathematical Statistics (Prof. Drton)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
Place of employment
Chair of Mathematical Statistics (Prof. Drton)
Work:
Parkring 11-13(8101)/II
85748 Garching b. München
- Phone: (work pref) +49 (89) 289 - 17430
- Room: 8101.02.121
- Homepage: https://davidstrieder.github.io
- david.strieder(at)tum.de
Publications
- D. Strieder and M. Drton (2024). Dual Likelihood for Causal Inference under Structure Uncertainty. Proceedings of Machine Learning Research. Link
- D. Strieder and M. Drton (2023). Confidence in causal inference under structure uncertainty in linear causal models with equal variances. Journal of Causal Inference. Link
- G. Keropyan, D. Strieder and M. Drton (2023). Rank-Based Causal Discovery for Post-Nonlinear Models. Proceedings of Machine Learning Research. Link
- D. Strieder and M. Drton (2022). On the choice of the splitting ratio for the split likelihood ratio test. Electronic Journal of Statistics. Link
- B. Ebner, N. Henze and D. Strieder (2022). Testing normality in any dimension by Fourier methods in a multivariate Stein equation. The Canadian Journal of Statistics. Link
- D. Strieder, T. Freidling, S. Haffner and M. Drton (2021). Confidence in causal discovery with linear causal models. Proceedings of Machine Learning Research. Link