13 citations · 30 across the 6 of their papers we have counts for
6 papers
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
Ankur Ankan, Inge Wortel, Kenneth A. Bollen +1
Measurement error is ubiquitous in many variables - from blood pressure recordings in physiology to intelligence measures in psychology. Structural equation models (SEMs) account f…
An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
Zachary F. Fisher, Kenneth A. Bollen
Methodological development of the Model-implied Instrumental Variable (MIIV) estimation framework has proved fruitful over the last three decades. Major milestones include Bollen's…
Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators
Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models. Associat…
Bayesian estimation of possible causal direction in the presence of latent confounders using a linear non-Gaussian acyclic structural equation model with individual-specific effects
Shohei Shimizu, Kenneth Bollen
We consider learning the possible causal direction of two observed variables in the presence of latent confounding variables. Several existing methods have been shown to consistent…
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa +5
Structural equation models and Bayesian networks have been widely used to analyze causal relations between continuous variables. In such frameworks, linear acyclic models are typic…
GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables
Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu +1
Finding the structure of a graphical model has been received much attention in many fields. Recently, it is reported that the non-Gaussianity of data enables us to identify the str…