Bayesian Methods, 7.5 credits

About the course

The course covers Bayes' formula, informative and non-informative prior distributions, posterior

distributions, single- and multiparameter distributions like binomial, multinomial och normal distributions,

hierarchical models, linear models, Bayesian inference and goodness-of-fit measures and stochastic

simulation with MCMC (Markov Chain Monte Carlo).

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