Results 31 to 40 of about 1,871,607 (274)
How few countries will do? Comparative survey analysis from a Bayesian perspective
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 +2 more
doaj +1 more source
Bayesian Solution Uncertainty Quantification for Differential Equations [PDF]
We explore probability modelling of discretization uncertainty for system states defined implicitly by ordinary or partial differential equations. Accounting for this uncertainty can avoid posterior under-coverage when likelihoods are constructed from a ...
Girolami, MA +4 more
core +1 more source
The Construction of Patient Loyalty Model Using Bayesian Structural Equation Modeling Approach
The information on the health status of an individual is often gathered based on a health survey. Patient assessment on the quality of hospital services is important as a reference in improving the service so that it can increase a patient satisfaction ...
Astari Rahmadita +2 more
doaj +1 more source
Using stacking to average bayesian predictive distributions (with discussion) [PDF]
Bayesian model averaging is flawed in the M-open setting in which the true data-generating process is not one of the candidate models being fit. We take the idea of stacking from the point estimation literature and generalize to the combination of ...
Grunwald, Peter +43 more
core +1 more source
Constructivist Multimedia Learning Environment (CMLE) merupakan model pembelajaran yang di dalamnya seorang pengajar memberikan peserta didiknya sebuah pengalaman yang dapat membantu peserta didik untuk mengembangkan kemampuan memecahkan masalah ...
Eny Sukani Rahayu +3 more
doaj +1 more source
Bayesian MCMC is a widely used model estimation technique, and software from the BUGS family, such as JAGS, have been popular for over two decades.
Martin Hecht +2 more
doaj +1 more source
Bayesian SEM with Small Samples: Precautions and Guidelines
Sometimes it can be challenging to collect enough data. Think of naturally small populations, such as people with rare diseases. Or hard to access target groups, such as people with addiction problems or undocumented migrants. However, all statistical methods require a certain amount of data to perform well.
openaire +2 more sources
Single and Multiple Ability Estimation in the SEM Framework: A Noninformative Bayesian Estimation Approach [PDF]
Latent variable models with many categorical items and multiple latent constructs result in many dimensions of numerical integration, and the traditional frequentist estimation approach, such as maximum likelihood (ML), tends to fail due to model complexity.
Su-Young, Kim +4 more
openaire +2 more sources
IntelLabs/bayesian-torch: Bayesian-Torch 0.4.0
<p>New feature: Quantization framework in Bayesian-Torch. Support Post Training Quantization of Bayesian deep neural networks, enables efficient INT8 inference on Intel platforms.</p> What's Changed <ul> <li>Add support for output
Michael Beale +5 more
core +1 more source

