4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Causal discovery under mean independence and linearity
Geert Mesters, Alvaro Ribot, Anna Seigal +1
Causal discovery methods such as LiNGAM identify causal structure from observational data by assuming mutually independent disturbances. This assumption is fragile: shared volatili…
math.ST2022★ 4 cited
Non-Independent Components Analysis
Geert Mesters, Piotr Zwiernik
A seminal result in the ICA literature states that for , if the components of are independent and at most one is Gaussian, then is identified up…