Bayesian Estimation of Mixture IRT Models using NUTS
The No-U-Turn Sampler (NUTS) is a relatively new Markov chain Monte Carlo (MCMC) algorithm that avoids the random walk behavior that common MCMC algorithms such as Gibbs sampling or Metropolis Hastings usually exhibit. Given the fact that NUTS can efficiently explore the entire space of the target d...
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| Format: | Others |
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OpenSIUC
2018
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| Online Access: | https://opensiuc.lib.siu.edu/dissertations/1641 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2645&context=dissertations |