Inferring causal directions in errors-in-variables models

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.