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Causal Discovery Using Knowledge-guided Greedy Equivalence Search
Learning causal relationships solely from observational data provides insufficient information about the underlying causal mechanism and the search space of possible causal graphs. -
Causal inference and the data-fusion problem
The dataset used in the paper is a causal graph dataset. -
Causal Bayesian Optimization
The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study. -
BAYESIMP: Uncertainty Quantification for Causal Data Fusion
The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study.
