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In this tutorial, Hugo and Eric will build participants’ knowledge of Bayesian inference, workflows and decision making under uncertainty. We will start with the basics of probability via simulation and analysis of real-world datasets, building up to an understanding of Bayes’ theorem. We will then introduce the use of probabilistic ...
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