Results 11 to 20 of about 275,998 (257)
Functional Structural Equation Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022 AbstractIn this article, we introduce a functional structural equation model for estimating directional relations from multivariate functional data. We decouple the estimation into two major steps: directional order determination and selection through sparse functional regression. We first propose a score function at the linear operator level, and show
Kuang-Yao, Lee, Lexin, Li
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, 2017 Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis ...
Catherine M, Stein +3 more
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Structural equation model trees. [PDF]
Psychological Methods, 2013 In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques.
Andreas M. Brandmaier +3 more
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Generalized ridge estimators adapted in structural equation models
Acta Scientiarum: Technology, 2020 Multicollinearity is detected via regression models, where independent variables are strongly correlated. Since they entail linear relations between observed or latent variables, the structural equation models (SEM) are subject to the multicollinearity ...
Gislene Araujo Pereira +2 more
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Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models
IEEE Open Journal of Signal Processing, 2023 An online topology estimation algorithm for nonlinear structural equation models (SEM) is proposed in this paper, addressing the nonlinearity and the non-stationarity of real-world systems.
Rohan Money +3 more
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Use of structural equation models to predict dengue illness phenotype. [PDF]
PLoS Neglected Tropical Diseases, 2018 BACKGROUND:Early recognition of dengue, particularly patients at risk for plasma leakage, is important to clinical management. The objective of this study was to build predictive models for dengue, dengue hemorrhagic fever (DHF), and dengue shock ...
Sangshin Park +6 more
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Regularized Structural Equation Modeling [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2016 A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models.
Ross, Jacobucci +2 more
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blavaan: Bayesian Structural Equation Models via Parameter Expansion
Journal of Statistical Software, 2018 This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual ...
Edgar C. Merkle, Yves Rosseel
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Model fit evaluation in multilevel structural equation models
Frontiers in Psychology, 2014 Assessing goodness of model fit is one of the key questions in structural equation modeling. Goodness of fit is the extent to which the hypothesized model reproduces the multivariate structure underlying the set of variables.
Ehri eRyu
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IDENTIFIABILITY OF STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2019 In this paper the problem of identifiability of structural equation models with latent variables is considered. The conditions of the almost everywhere local identifiability for such models are obtained.
Sergei Stafeev
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