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Using Path Diagrams as a Structural Equation Modelling Tool
, 1997
"... this paper, we will show how path diagrams can be used to solve a number of important problems in structural equation modelling. There are a number of problems associated with structural equation modeling. These problems include: ..."
Abstract

Cited by 30 (7 self)
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this paper, we will show how path diagrams can be used to solve a number of important problems in structural equation modelling. There are a number of problems associated with structural equation modeling. These problems include:
A Polynomial Time Algorithm For Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias
, 1997
"... ations. For this class of algorithms, it is impossible to determine which of two dseparation equivalent causal structures generated a given probability distribution, given only the set of conditional independence and dependence relations true of the observed distribution. We will describe a polynom ..."
Abstract

Cited by 14 (4 self)
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ations. For this class of algorithms, it is impossible to determine which of two dseparation equivalent causal structures generated a given probability distribution, given only the set of conditional independence and dependence relations true of the observed distribution. We will describe a polynomial (in the number of vertices) time algorithm for determining when two DAGs which may have latent variables or selection bias are dseparation equivalent. A DAG G entails a conditional independence relation if and only if it is true in every probability measure satisfying the local directed Markov property for G. (We place definitions and sets of variables in boldface.) Pearl, Geiger, and Verma (Pearl 1988) have shown that there is a graphical relation, dseparation, that holds among three disjoint sets of variable A, and B, and C in DAG G if and only if G entails that
The TETRAD Project: Constraint Based Aids to Causal Model Specification
 MULTIVARIATE BEHAVIORAL RESEARCH
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