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).
Course literature: "Bayesian Methods for Data Analysis" by B.P. Carlin and T.A. Louis,Chapman and Hall/CRC Press, 2009 (3rd ed).
Course responsible: Chun-Biu Li and Felix Günther
Please note that self-enrollment on the course page is not the same as course registration in Ladok.
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IMPORTANT:
The teaching of the whole course will be carried out ON CAMPUS
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- Teacher: Johannes Heiny
- Teacher: Chun-Biu Li
- Teacher: Vilhelm Niklasson