After the course, the student can explain the central concepts in
Bayesian statistics, and name steps of the Bayesian modeling
process. The student can recognize usages for common (i.e. those
presented during the course) statistical models, and formulate the
models in these situations. The student can compare the most
popular Bayesian simulation methods, and implement them. The
student can use analytic and simulation based methods for learning
the parameters of a given model. The student can estimate the fit
of a model to data and compare models.
Læringsmål:
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
