Meta-Transportability of Causal Effects: A Formal Approach

By Elias Bareinboim, Judea Pearl. 2013

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Citations in the corpus

Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms (2018, background): “Bareinboim and Pearl (2013) generalize this to transfer causal knowledge from multiple source domains to a single target domain.”
A General Algorithm for Deciding Transportability of Experimental Results (2013, background): “s, pooling experimental results from multiple and disparate sources to synthesize a consistent estimate of a causal relation at yet another environment, potentially different from each of the formers [3]. 7 Conclusions Informal discussions concerning the difficulties of generalizing experimental res”
Transportability from Multiple Environments with Limited Experiments (2013, background): “only limited experiments are available in the source domain [12, 13], and further for when multiple source domains with unrestricted experimental information are available [14, 15].”
Causal and Counterfactual Inference (2018, background): “Theorem 4 Bareinboim & Pearl (2013) • Nonparametric transportability of experimental findings from multiple environments can be determined in polynomial time, provided suspected differences are encoded in selection diagrams.”
Causal inference and the data-fusion problem (2016, methodology): “Nevertheless, using multiple selection diagrams to encode commonalities among studies, we (52) “synthesized” an estimator that is guaranteed to provide an unbiased estimate of the desired quantity, whenever such an estimate exists.”
Recovering from Selection Bias in Causal and Statistical Inference (2014, background): “This paper complements another aspect of the generalization problem in which causal effects are transported among differing environments (Bareinboim and Pearl 2013a; 2013b).”
Causal Transportability with Limited Experiments (2013, methodology): “This paper complements a recent work on a task called meta-transportability [Bareinboim and Pearl, 2013b], which deals with transferring causal information from multiple heterogeneous domains.”
Transportability from Multiple Environments with Limited Experiments: Completeness Results (2014, background): “with unrestricted experimental information are available [11, 12], and then for multiple heterogeneous sources with limited and distinct experiments [13], which was called “mz-transportability”.”