A moment-based algorithm consistently recovers cycle-disjoint linear non-Gaussian causal graphs with feedback loops, together with a full characterization of distribution-equivalent graphs.
Identification of partially observed linear causal models: Graphical conditions for the non- G aussian and heterogeneous cases
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
A moment-based algorithm consistently recovers cycle-disjoint linear non-Gaussian causal graphs with feedback loops, together with a full characterization of distribution-equivalent graphs.