Parameter Identification in a Class of Linear Structural Equation Models

Tian, Jin

Parameter Identification in a Class of Linear Structural Equation Models

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Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1970-1974.

Abstract

Linear causal models known as structural equation models (SEMs) are widely used for data analysis in the social sciences, economics, and artificial 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 identification. The paper uses the graphical models approach and provides a procedure for solving the identification problem in a special class of SEMs.Jin Tian

Jin Tian. 2009. Parameter Identification in a Class of Linear Structural Equation Models. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09. IJCAI, 1970–1974. https://ijcai.org/proceedings/2009/325

@inproceedings{ijcai2009p325,
  title     = {Parameter Identification in a Class of Linear Structural Equation Models},
  author    = {Tian, Jin},
  booktitle = {Proceedings of the Twenty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-09}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Hiroaki Kitano},
  pages     = {1970--1974},
  year      = {2009},
  url       = {https://ijcai.org/proceedings/2009/325},
}

TY  - CPAPER
TI  - Parameter Identification in a Class of Linear Structural Equation Models
AU  - Tian, Jin
T2  - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2009
SP  - 1970
EP  - 1974
UR  - https://ijcai.org/proceedings/2009/325
ER  -