The Inflation Technique for Causal Inference with Latent Variables

The problem of causal inference is to determine if a given probability distribution on observed variables is compatible with some causal structure. The difficult case is when the causal structure includes latent variables. We here introduce the for tackling this problem. An inflation of a causal str...

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Veröffentlicht in:	Journal of causal inference Jg. 7; H. 2; S. 156 - 65
Hauptverfasser:	Wolfe, Elie, Spekkens, Robert W., Fritz, Tobias
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	De Gruyter 01.09.2019
Schlagworte:	Bell inequalities causal compatibility inequalities causal inference with latent variables GPT causal models, triangle scenario graph symmetries Hardy paradox inflation technique marginal problem quantum causal models
ISSN:	2193-3677, 2193-3685
Online-Zugang:	Volltext
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