Parameter identification in linear non-Gaussian causal models under general confounding

@article{daniele2026,
  title        = {{Parameter identification in linear non-Gaussian causal models under general confounding}},
  author       = {Daniele Tramontano et al.},
  journal      = {Annals of Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1214/25-aos2597},
}

TY  - JOUR
TI  - Parameter identification in linear non-Gaussian causal models under general confounding
AU  - al., Daniele Tramontano et
JO  - Annals of Statistics
PY  - 2026
ER  -

Daniele Tramontano et al. (2026). Parameter identification in linear non-Gaussian causal models under general confounding. *Annals of Statistics*. https://doi.org/https://doi.org/10.1214/25-aos2597

Daniele Tramontano et al.. "Parameter identification in linear non-Gaussian causal models under general confounding." *Annals of Statistics* (2026). https://doi.org/https://doi.org/10.1214/25-aos2597.

Parameter identification in linear non-Gaussian causal models under general confounding
Daniele Tramontano et al. · Annals of Statistics · 2026
https://doi.org/https://doi.org/10.1214/25-aos2597