TALMO: Teaching Bayesian Methods

Date: Wednesday 27 March 2024, 3.00PM - 5.00PM
Location: Online
Online - joining instructions will be sent to those registered
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Bayesian methods are increasingly widely used in statistical data analysis. Despite this, the statistics teaching curriculum in both undergraduate and postgraduate degree courses is still almost exclusively devoted to classical approaches to statistical inference (estimators, sampling distributions, p-values, confidence intervals, etc.), with Bayesian methods either never mentioned at all, or treated as a niche or advanced topic. This slows the adoption of Bayesian methods in many fields or areas of application where they might otherwise provide great benefits. This event, organised in association with the Teaching Statistics Section of the Royal Statistical Society, considers how and why we should, or should not, bring Bayesian methods into the mainstream statistics teaching curriculum. Speakers will include Professor Richard McElreath, Dr Mine Dogucu, and Dr Ben Lambert, who will present on a range of topics related to teaching Bayesian methods. The presentations will be followed by an open discussion about the practicalities of and arguments for and against including Bayesian methods into mainstream statistics teaching.

To register, please sign up to the TALMO mailing list and a Zoom link will be sent 24 hours before the event.

 
 
Professor Richard McElreath
Dr Mine Dogucu
Dr Ben Lambert
Dr Mark Andrews
 
 
TALMO with RSS Teaching Statistics Section