R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
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Dec 9, 2021 - HTML
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R program for a metropolis-hastings based MCMC sampler using a multivariate-normal proposal distribution.
An implementation of the BUGS example LSAT: item response (http://www.openbugs.net/Examples/Lsat.html) on R. Parameters for the Rasch model are estimated using Maximum Marginal Likelihood as well as Bayesian Inference using jags and an implementation of Metropolis on R.
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