3 days (approximately 18 hours teaching). Registration will start at 9am on the first day, the course will finish by 4.30pm on the final day. This course is at an intermediate or higher level.

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

This course covers the ideas underlying statistical modelling in science through the lens of causal thinking. We cover the implementation of these ideas through Bayesian computational methods and ...

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

SERC copy Purchased with Adopt-a-Book funds. "Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

We’ll discuss some basic concepts and vocabulary in Bayesian statistics such as the likelihood, prior and posterior distributions, and how they relate to Bayes’ Rule. R statistical software will be ...