Bayesian learning of joint distributions of objects [PDF]
There is increasing interest in broad application areas in defining flexible joint models for data having a variety of measurement scales, while also allowing data of complex types, such as functions, images and documents. We consider a general framework
Banerjee, Anjishnu +2 more
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ANALISIS STRUCTURAL EQUATION MODEL DENGAN PENDEKATAN BAYESIAN
ANALISIS STRUCTURAL EQUATION MODEL DENGAN PENDEKATAN ...
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Psychometric properties of the Chinese version of Five Facet Mindfulness Questionnaire-short form in cancer patients: a Bayesian structural equation modeling approach. [PDF]
Fong TCT, Wan AHY, Wong VPY, Ho RTH.
europepmc +1 more source
Achieving environmental sustainability requires balancing policy trade-offs while leveraging synergies to enhance governance effectiveness. This study examines environmental policy interactions in emerging and advanced economies using the 2024 ...
Boonlert Jitmaneeroj
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Bayesian mixture structural equation modelling in multiple-trait QTL mapping
SummaryQuantitative trait loci (QTLs) mapping often results in data on a number of traits that have well-established causal relationships. Many multi-trait QTL mapping methods that account for correlation among the multiple traits have been developed to improve the statistical power and the precision of QTL parameter estimation.
Xiaojuan, Mi +6 more
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Understanding biodiversity effects on trophic interactions with a robust approach to path analysis
Summary: With its facility to assess causal mechanisms among multiple variables, the application of path analysis in medical, natural, and social sciences has become widespread.
Yu-Quan Wang +5 more
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A Bayesian Structural Equation Modeling Factor Analysis of the UCLA Posttraumatic Stress Disorder Reaction Index for DSM-5 in a Polyvictimized Sample of Adolescents. [PDF]
Modrowski CA +3 more
europepmc +1 more source
The green economy spans interrelated domains—climate change and social equity, sectoral decarbonization, markets and ESG investment, and environmental health.
Boonlert Jitmaneeroj
doaj +1 more source
Bayesian structural equation modeling in multiple omics data with application to circadian genes. [PDF]
Maity AK, Lee SC, Mallick BK, Sarkar TR.
europepmc +1 more source
Multilevel IRT Modeling in Practice with the Package mlirt [PDF]
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
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