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Lecture 7

Lecture 7. MCMC for Normal response multilevel models. Lecture Contents. Gibbs sampling recap. Variance components models. MCMC algorithm for VC model. MLwiN MCMC demonstration using Reunion island dataset. Choice of variance prior. Residuals, predictions etc.

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624 views • 42 slides

Lecture 14

Lecture 14. MCMC for multilevel logistic regressions in MLwiN. Lecture Contents. Recap of MCMC from day 3 Recap of logistic regression from days 1 & 4 Metropolis Hastings sampling Reunion Island dataset (2 and 3 level) VPC for binomial models Method Comparison on Rodriguez/Goldman examples.

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568 views • 40 slides

Lecture 3

Lecture 3. Introduction to Monte Carlo Markov chain (MCMC) methods. Lecture Contents. How does WinBUGS fit a regression? Gibbs Sampling Convergence and burnin How many iterations? Logistic regression example. Linear regression. Let us revisit our simple linear regression model

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273 views • 27 slides

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Lecture 7

Lecture 14

Lecture 3