Principal speaker
Associate Professor Sama Low-Choy
This is an extension to "Bayesian probability for Babies". In his book, astrophysicist Chris Ferrie tells a story about candies on cookies. He considers the chance of a bite with no candy on it, and works up to exploring the chance that the cookie itself has no candy at all. In fact, this is a clever, visual metaphor for differentiating the Frequentist and Bayesian concepts of probability. Here, I delve further into Ferrie's metaphor, and extend it in a slightly different vein, to highlight the broader points of difference and similarity between Bayesian and classical statistical thinking. In this workshop, we will work through the yummy, tangible landscape of cookies and candy (as well as other visual landscapes) to explore the simple arithmetic involved ( + , - , ´ , ¸). Along the way I point out nuances of meaning for Bayesian probabilities, and how these help you in your research. This reveals how Bayesian ideas disrupt the assumptions built into classical statistical thinking.
Format: Explore the logic of Bayesian versus classical statistics, by extending the reading of "Bayesian probability for Babies", through interaction in a large group, and discussion in small groups
Prerequisite: Basic arithmetic: addition, subtraction, multiplication, fractions. I assume that you have read the boardbook "Bayesian Probability for Babies" by Chris Ferrie for instance by attending my previous presentation on "Bayesian Ideas in Pictures".
Connections: Foundation concepts for reading or using Bayesian statistical models.
Intended audience: All levels welcome. This workshop may be useful for anyone wanting a simple introduction to the mathematics at the core of Bayesian statistical methods.
This session is for current Griffith University staff and students only.
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RSVP
RSVP on or before Wednesday 20 March 2024 13.52 pm, by email red@griffith.edu.au , or via https://events.griffith.edu.au/lDa7oN?locale=en