Functional Causal Discovery via Conditional Covariance Ordering
arXiv:2609.27256v1 Announce Type: cross Abstract: We study causal discovery where each node is a random function. Previous studies on this topic rely on structural assumptions, e.g., linearity or non-linearity, and distributional assumptions, e.g., Gaussianity or non-Gaussianity. In contrast, we ma…
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- 2026-09-24 04:00 · arXiv stat.ML
Functional Causal Discovery via Conditional Covariance Ordering