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bivariate causal inference 1causal discovery 1likelihood estimation 1location-scale noise models 1skewed noise 1

From the 1 of 1 linked paper with an AI index.

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1 paper

stat.ML2026

Skewness-Robust Causal Discovery in Location-Scale Noise Models

Daniel Klippert, Alexander Marx

The paper introduces SkewD, a likelihood‑based method for bivariate causal discovery that works with location‑scale noise models even when the noise distribution is skewed, improvi…