Courses 2013

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  • Intensive course on Bayesian inference for the Nordic biostatistics network (BGC)
    Helsinki University, 4-8 March and 13-17 May 2013

    The course explains the fundamental issues in Bayesian inference, role of prior probabilities, predictive modeling, hierarchical models, model selection, asymptotics. These concepts are also put into several application contexts to demonstrate how and why Bayesian inference works, what are the benefits and potential pitfalls. No prior knowledge about Bayesian inference is expected. The aim is to equip participants with good intuition on how the Bayesian machinery works, rather than focus on exact mathematical formalism.

    Lecturer: Professor Jukka Corander, University of Helsinki
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