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Evaluating Stan’s Variational Bayes Algorithm for Estimating Multidimensional IRT Models

Bayesian estimation of multidimensional item response theory (IRT) models in large data sets may come with impractical computational burdens when general-purpose Markov chain Monte Carlo (MCMC) samplers are employed. Variational Bayes (VB)—a method for approximating the posterior distribution—poses...

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Bibliografische gegevens
Hoofdauteurs: Esther Ulitzsch, Steffen Nestler
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-02-01
Reeks:Psych
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Online toegang:https://www.mdpi.com/2624-8611/4/1/7
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