Results 31 to 40 of about 1,871,607 (274)

hsbadr/bayesian: bayesian 0.0.2

open access: yes, 2021
Bindings for Bayesian ...
Hamada S. Badr
core   +1 more source

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

open access: yesSurvey 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   +2 more
doaj   +1 more source

Bayesian Solution Uncertainty Quantification for Differential Equations [PDF]

open access: yes, 2016
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

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2018
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]

open access: yes, 2018
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

Analisis Constructivist Multimedia Learning Environment dengan Pendekatan Bayesian Structural Equation Model

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
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

Comparing the MCMC Efficiency of JAGS and Stan for the Multi-Level Intercept-Only Model in the Covariance- and Mean-Based and Classic Parametrization

open access: yesPsych, 2021
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

open access: yes, 2023
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]

open access: yesMultivariate Behavioral Research, 2013
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

open access: yes, 2023
<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

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