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Course on Bayesian Statistics

18-20 December 2017, ESTEC - Noordwijk, The Netherlands
by Rafael da Silva de Souza and Emille E. O. Ishida

Day 1 - The Basics

  • Bayesian x Frequentists

    Slides
    Example 1 - Confidence Intervals vs Credible Intervals - Normal distribution in R
    Example 2 - Confidence Intervals vs Credible Intervals - Truncated exponential in R
    References

  • Monte Carlo Markov Chain
    Slides
    Example 3 - My first MCMC - Normal distribution in R
    Example 3b - My first MCMC - Normal distribution in Python
    Example 4 - My first MCMC - linear regression in R
    References

  • Just Another Gibbs Sampler
    Example 5 - Normal model in R using JAGS
    Example 5b - Normal model in Python using JAGS
    Example 6 - Normal model in R using JAGS - higher order

Day 2 - Generalized Linear Models

Day 3 - Advanced topics