COURSE DESCRIPTION

This two-day workshop will provide a gentle introduction to Bayesian inference. What are the conceptual differences with traditional inference? What is the role of the prior distribution? We will learn about Bayesian parameter estimation, with measures of uncertainty reflected by the posterior distribution and credible intervals. We will also learn about Bayesian hypothesis testing, with strength of evidence quantified by Bayes factors. The workshop will be hands-on, we start by approaching some of the simpler problems by old-fashioned pen-and-paper calculation. We will subsequently turn to the free programming language R, in which we will perform both traditional and Bayesian linear regression and examine what the differences are. The workshop is geared to conceptual understanding and application with a bare minimum of complex equations. The course is aimed at PhD students and interested faculty members

 

LANGUAGE English

INTERESTED? Please contact simone.pfenninger@es.uzh.ch to register your interest

DATE Monday 17 April 2023 –Tuesday 18 April 2023

TIME Mon 09:00–17:00 and Tue 13:00–17:00

PLACE University of Zurich, Monday Room RAA-E30, Tuesday Room RAI-J-031

Max. capacity 25 persons