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Section 1 - Motivation and Bayes theorem
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Section 2 - Markov chain Monte Carlo algorithms (MCMC)
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Section 4 - Priors
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Section 5 - Case studies and GLMMs
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Section 6 - Conclusions
Author:
Gimenez, Olivier – CNRS Montpellier, France
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Material for a 1-day workshop "Introduction to Bayesian statistics with R"