Results 41 to 50 of about 121,305 (186)

Implementation Aspects in Regularized Structural Equation Models

Algorithms, 2023
This article reviews several implementation aspects in estimating regularized single-group and multiple-group structural equation models (SEM). It is demonstrated that approximate estimation approaches that rely on a differentiable approximation of non ...
Alexander Robitzsch
doaj   +1 more source

Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error

, 2020
Bayesian inverse modeling is important for a better understanding of hydrological processes. However, this approach can be computationally demanding, as it usually requires a large number of model evaluations.
Chen, Dingjiang, Wu, Laosheng, Zeng, Lingzao, Zhang, Jiangjiang, Zheng, Qiang   +4 more
core   +1 more source

Bayesian regularized quantile structural equation models

Journal of Multivariate Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiang-Nan Feng, Yifan Wang, Bin Lu, Xin-Yuan Song   +3 more
openaire   +1 more source

How few countries will do? Comparative survey analysis from a Bayesian perspective

Survey Research Methods, 2012
Meuleman and Billiet (2009) have carried out a simulation study aimed at the question how many countries are needed for accurate multilevel SEM estimation in comparative studies.
Joop J.C.M. Hox, Rens van de Schoot, Suzette Matthijsse   +2 more
doaj   +1 more source

Applying SEM, Exploratory SEM, and Bayesian SEM to Personality Assessments

Psych
Despite the importance of demonstrating and evaluating how structural equation modeling (SEM), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM) work simultaneously, research comparing these analytic ...
Hyeri Hong, Walter P. Vispoel, Alfonso J. Martinez   +2 more
doaj   +1 more source

A nonstationary nonparametric Bayesian approach to dynamically modeling effective connectivity in functional magnetic resonance imaging experiments [PDF]

, 2011
Effective connectivity analysis provides an understanding of the functional organization of the brain by studying how activated regions influence one other.
Bhattacharya, Sourabh, Maitra, Ranjan
core   +4 more sources

Probabilistic modeling of one dimensional water movement and leaching from highway embankments containing secondary materials [PDF]

, 2005
Predictive methods for contaminant release from virgin and secondary road construction materials are important for evaluating potential long-term soil and groundwater contamination from highways.
Apul, Defne S., Eighmy, T. Taylor, Frizzell, Tara, Gardner, Kevin H., Linder, Ernst, Roberson, Ruth   +5 more
core   +2 more sources

A Comparison of Methods for Synthesizing Results from Previous Research to Obtain Priors for Bayesian Structural Equation Modeling

Psych
Bayesian estimation of latent variable models provides some unique advantages to researchers working with small samples and complex models when compared with the more commonly used maximum likelihood approach.
Holmes Finch
doaj   +1 more source

The health literacy questionnaire among the aged in Changsha, China: confirmatory factor analysis

BMC Public Health, 2019
Background Health literacy is defined as the cognitive and social skills that determine the motivation and ability of individuals to gain access to, understand and use information in ways that promote and maintain good health.
Yiwei Huang, Tingting Ruan, Qiaoyun Yi, Tingting Wang, Zhihua Guo   +4 more
doaj   +1 more source

Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

Plant Methods, 2019
Background Plant breeders seek to develop cultivars with maximal agronomic value, which is often assessed using numerous, often genetically correlated traits.
Mehdi Momen, Malachy T. Campbell, Harkamal Walia, Gota Morota   +3 more
doaj   +1 more source