Results 31 to 40 of about 68,993 (274)
Efficient Bayesian Structural Equation Modeling in Stan
Journal of Statistical Software, 2021 Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof.
Edgar C. Merkle +3 more
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Opaque Prior Distributions in Bayesian Latent Variable Models
Methodology, 2023 We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation.
Edgar C. Merkle +3 more
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The Effect of Risk Dimensions on the Objectives of Construction Projects in Isfahan Municipality: An Integrated SEM and BBN Analysis [PDF]
مدیریت بهره وری, 2021 Population growth and the subsequent surge in urbanization has drastically increased the number of construction projects in metropolitan cities implementation and management of which may involve numerous ambiguous and unknown issues or risks that can ...
Amir Hossein Nadali Jelokhani +3 more
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AI-powered mixed reality acceptance in mining: A PLS-SEM and Bayesian Network modeling
Sustainable FuturesWecka Imam Yudhistyra, Chalita Srinuan
openalex +2 more sources
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
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G3: Genes, Genomes, Genetics, 2020 Bayesian regression methods that incorporate different mixture priors for marker effects are used in multi-trait genomic prediction. These methods can also be extended to genome-wide association studies (GWAS).
Zigui Wang +3 more
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BMC Medical Research Methodology, 2022 Background Availability of linked biomedical and social science data has risen dramatically in past decades, facilitating holistic and systems-based analyses.
Xuejia Ke +2 more
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Between-Item Multidimensional IRT: How Far Can the Estimation Methods Go?
Psych, 2021 Multidimensional item response models are known to be difficult to estimate, with a variety of estimation and modeling strategies being proposed to handle the difficulties.
Mauricio Garnier-Villarreal +2 more
doaj +1 more source
Bayesian Evaluation of Inequality-Constrained Hypotheses in SEM Models Using M plus [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2012 Researchers in the behavioural and social sciences often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model resulting in an informative hypothesis. The question they would like an answer to is "Is the Hypothesis Correct" or "Is the hypothesis incorrect?".
Van de Schoot, Rens +3 more
openaire +5 more sources
A review of R-packages for random-intercept probit regression in small clusters [PDF]
, 2016 Generalized Linear Mixed Models (GLMMs) are widely used to model clustered categorical outcomes. To tackle the intractable integration over the random effects distributions, several approximation approaches have been developed for likelihood-based ...
Josephy, Haeike +2 more
core +3 more sources