Principal speaker
Associate Professor Sama Low-Choy
This workshop has two parts, leading you through a core idea of Bayesian statistics, relying heavily on pictures. These pictures are used to illustrate core concepts of probability -- conditional probability, priors, and posteriors.
1. Bayesian for Babies. Following Chris Ferrie's boardbook (ostensibly for parents to read to small children), we introduce the ideas behind Bayes' Theorem using cookies and candy (or biccies with smarties, in the local slang).
2. Bayesian for Toddlers. The baby steps of Bayes Theorem (part 1) are increased to toddler-sized steps, explaining how Bayes' theorem underlies Bayesian statistical modelling, which updates prior information to posterior information.
Format: The workshop will include activities to help participants to discuss and explore concepts.
Audience: It will suit beginners who are new to these ideas. It may also suit researchers who have used Bayesian statistical models or Bayesian networks before, but wish to deepen their conceptual understandings and ability to communicate complex ideas via pictures and diagrams.
Related RED Workshops: This workshop introduces Bayes Theorem, which underpins Bayesian statistical modelling (with priors and posteriors) as well as Bayesian Networks. It covers ideas in a way that makes it useful at any stage of your Bayesian learning: at the very beginning, or to fill in conceptual gaps.
This session is for current Griffith University staff and students only.
Event categories
RSVP
RSVP on or before Wednesday 28 February 2024 14.06 pm, by email red@griffith.edu.au , or via https://events.griffith.edu.au/MPz7Eg?locale=en