Results 21 to 30 of about 11,099,772 (293)
Hierarchical Structural Analysis Method for Complex Equation-Oriented Models
Mathematics, 2021 Structural analysis is a method for verifying equation-oriented models in the design of industrial systems. Existing structural analysis methods need flattening of the hierarchical models into an equation system for analysis.
Chao Wang +6 more
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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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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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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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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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Exploratory Structural Equation Modeling of Personality Data [PDF]
, 2014 The current article compares the use of exploratory structural equation modeling (ESEM) as an alternative to confirmatory factor analytic (CFA) models in personality research.
Hughes, David; id_orcid +2 more
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Explaining interviewer effects and respondent behavior: Theoretical models and empirical analysis [PDF]
, 1993 Theory of reasoned action, interviewer effects, respondent behavior, need for social approval, structural equation models, multiple group comparison,
Jost Reinecke +3 more
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A semiparametric approach for structural equation modeling with ordinal data
, 2021 There is currently a lack of methods for non-linear structural equation modeling (NSEM) for non-parametric relationships between latent variables when data are ordinal. To this end, a semiparametric approach for flexible NSEMs without parametric forms is
Vegelius, Johan +5 more
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