Cookies-and-candy exploration of Bayesian versus classical statistical thinking (Bayes for toddlers)

Cookies-and-candy exploration of Bayesian versus classical statistical thinking  (Bayes for toddlers)
Cookies-and-candy exploration of Bayesian versus classical statistical thinking (Bayes for toddlers)

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.

REGISTER NOW


Event categories
RSVP

RSVP on or before Monday 21 August 2023 11.33 am, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/RrZZwE

Event contact details