bivariate causal inference 1causal discovery 1likelihood estimation 1location-scale noise models 1skewed noise 1
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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…
stat.ML2024
On the Properties and Estimation of Pointwise Mutual Information Profiles
PaweŠCzyż, Frederic Grabowski, Julia E. Vogt +2
The pointwise mutual information profile, or simply profile, is the distribution of pointwise mutual information for a given pair of random variables. One of its important properti…