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Bayesian statistics for astronomers and physicists

  • 7.5 credits

The course covers the fundamentals of probability theory, Bayes’s theorem and how these basic concepts can be used to do inference and analyse experimental data. It also covers the numerical techniques, such as Markov chain Monte Carlo (MCMC), necessary to apply Bayesian inference to practical research problems. Furthermore, it addresses the application of these methods to data analysis within astronomy and physics in such a way that it becomes possible to apply these methods directly to real research problems.

Further course information will appear soon on this page. Until then, information can be found on the department website.