Results 71 to 76 of about 117 (76)
Synergy and Redundancy Measures: Theory and Applications to Characterize Complex Systems and Shape Neural Network Representations [PDF]
The following Special Issue covers advances in both the theoretical formulation and applications of information-theoretic measures of synergy and redundancy.
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We study submodels of Gaussian DAG models defined by partial homogeneity constraints imposed on the model error variances and structural coefficients. We represent these models with colored DAGs and investigate their properties for use in statistical and
Boege, Tobias +3 more
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Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
Existing statistical methods in causal inference often rely on the assumption that every individual has some chance of receiving any treatment level regardless of its associated covariates, which is known as the positivity condition.
Chen, Yen-Chi +2 more
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Characterization of causal ancestral graphs for time series with latent confounders [PDF]
Gerhardus, Andreas
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