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AAAI 2014

Inferring Causal Directions in Errors-in-Variables Models

Conference Paper Papers Artificial Intelligence

Abstract

A method for inferring causal directions based on errors-in-variables models where both the cause variable and the effect variable are observed with measurement errors is concerned in this paper. The inference technique and estimation algorithms are given. Some experiments are included to illustrate our method.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
342815382079958054