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Parameter Identification in a Class of Linear Structural Equation Models

2019-11-15 | |  73 |   49 |   0

Abstract Linear causal models known as structural equation models (SEMs) are widely used for data analysis in the social sciences, economics, and artifificial intelligence, in which random variables are assumed to be continuous and normally distributed. This paper deals with one fundamental problem in the applications of SEMs – parameter identifification. The paper uses the graphical models approach and provides a procedure for solving the identifification problem in a special class of SEMs

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