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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Bibliographic Details

Published in:	Journal of causal inference Vol. 7; no. 2; pp. 156 - 65
Main Authors:	Wolfe, Elie, Spekkens, Robert W., Fritz, Tobias
Format:	Journal Article
Language:	English
Published:	De Gruyter 01.09.2019
Subjects:	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 Access:	Get full text
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