Bayesian Learning, 6 hp

Bayesian Learning, 6 hp

VT 2020, Halvfart, Linköping

The course aims to give a solid introduction to the Bayesian approach to statistical inference, with a view towards applications in data mining and 
machine learning. The course contents is a mix of theoretical concepts, computer exercises and exercise sessions.  Such concepts as prior-to-posterior updating, Markov Chain Monte Carlo, Bayesian prediction, marginalization of nuisance and many other concepts are studied in the course.

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