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Showing 1 to 2 of 2 for “"Fully Bayesian estimation"”.
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COMPARING THREE ESTIMATION METHODS FOR THE THREE-PARAMETER LOGISTIC IRT MODEL
… University Carbondale. TITLE: COMPARING THREE ESTIMATION METHODS FOR THE THREE-PARAMETER LOGISTIC IRT MODEL MAJOR PROFESSOR: Dr. Yanyan Sheng Different estimation procedures have been developed for the unidimensional three‐parameter item response theory (IRT) model. These techniques include the …
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A Comparison of Two MCMC Algorithms for Estimating the 2PL IRT Models
<p>The fully Bayesian estimation via the use of Markov chain Monte Carlo (MCMC) techniques has become popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS). While the former has been …