On the Use of Generative Models in Observational Causal Analysis

• URL: http://arxiv.org/abs/2306.04792v1
• Date: Wed, 7 Jun 2023 21:29:49 GMT
• Title: On the Use of Generative Models in Observational Causal Analysis
• Authors: Nimrod Megiddo
• Abstract summary: The use of a hypothetical generative model was been suggested for causal analysis of observational data. The model describes a single observable distribution and cannot a chain of effects of intervention that deviates from the observed distribution.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The use of a hypothetical generative model was been suggested for causal analysis of observational data. The very assumption of a particular model is a commitment to a certain set of variables and therefore to a certain set of possible causes. Estimating the joint probability distribution of can be useful for predicting values of variables in view of the observed values of others, but it is not sufficient for inferring causal relationships. The model describes a single observable distribution and cannot a chain of effects of intervention that deviate from the observed distribution.

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