Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Incorporating Knowledge into Structural Equation Models using Auxiliary Variables
eight myths about causality and structural equation models .
STRUCTURAL VERSUS REDUCED FORM MODELS: A NEW INFORMATION BASED PERSPECTIVE
Bayesian Variable Selection
A Factor and Structural Equation Analysis of the Enterprise Systems Success Measurement Model
Addressing Path Dependence and Incorporating Sample Weights in the Nonlinear Blinder-Oaxaca Decomposition Technique for Logit , Probit and Other Nonlinear Models
Credit Risk Models II: Structural Models
A STRUCTURAL EQUATIONS MODELING OF PURCHASING DECISION THROUGH E-COMMERCE
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
Modeling Multilevel Data Structures
Model selection and estimation in regression with grouped variables
Testing Adaptive Toolbox Models : A Bayesian Hierarchical Approach
The Problem of Measurement Model Misspecification in Behavioral and Organizational Research and Some Recommended Solutions
Multilevel Models for Categorical Data using SAS ® PROC GLIMMIX: The Basics
Learning Causal Structures Using Regression Invariance
Measuring Enterprise Resource Planning (ERP) Systems Success: A Structural Equation Modeling Approach
Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques
Bayesian Model Averaging for Linear Regression Models
Distance based modeling of interactions in structured regression
ltm: An R package for latent variable modeling and item response theory analyses
MICE: Multivariate Imputation by Chained Equations in R
Causality: Models, Reasoning, and Inference
Smart traffic light control system
Neurobiology of dyslexia
Shape from periodic texture using the spectrogram
Spatial Deep Learning for Wireless Scheduling