Introduction to Bayesian Analysis with R

This course introduces the main concepts and algorithms of Bayesian analysis, on the basis of theory, R code, examples and exercises from Geosciences. The contents include:

• Bayes Theorem, Bayesian inversion, univariate algorithms
• Probability models, conjugate distributions, discrete solutions
• Simulation strategies, importance sampling
• Markov Chain Monte Carlo methods: Gibbs sampling and Metropolis-Hastings