Bayesiansk statistik för astronomer och fysiker

Bayesian inference is an internally consistent formalism for data analysis that, thanks in large part to advances in computing power in recent decades, is now in widespread use in astronomy and physics. It has a particular appeal to students and researchers in these fields as the implications of Bayess theorem can be derived from a few basic equations, just as is the case in much of physics. The course will cover the fundamentals of probability, Bayess theorem and inference, the numerical sampling techniques (primarily Markov chain Monte Carlo, MCMC) that can be applied directly to practical problems of data analysis in astronomy and physics.