Bayesian Ideas in Pictures: thinking and arithmetic for understanding risks during a pandemic
Bayesian Ideas in Pictures: thinking and arithmetic for understanding risks during a pandemic

Principal speaker

Associate Professor Sama Low-Choy

Ever wondered what Bayesian thinking is? And how it relates to Bayesian statistical modelling? Or Bayesian networks? Or Empirical Bayes estimates? Bayes theorem lies at the heart of all of these methodologies, in different ways. This talk explains the core ideas of Bayes' theorem, simply. The approach is based on the cookie analogy used by a quantum physicist to explain (and illustrate) Bayesian ideas to toddlers (and their parents).

Learning context: Here I substitute covid-19 for cookies. In the process, we examine how Bayesian thinking can help understand risks, in the global pandemic

Format: Lectorial interspersed with discussion

Audience: Any level.


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