26 April 2016, Logic Tea, Philip Schulz

Abstract

In this talk I will give an informal introduction to Bayesian inference with a focus on applications. I will start out by introducing some fundamental concepts from probability theory and statistics. Based on this I will explain what Bayesian inference actually is and how it differs from other inference frameworks. After this short primer, I will move away from the mathematics of Bayesian inference and instead discuss applications where Bayesian inference has shown to be beneficial. These applications include e.g. the evaluation of experiments, a topic that is currently of great interest to many scientists as there have been claims that the empirical sciences are going through a "replication crisis". I will then move on to show how Bayesian reasoning can intuitively be applied to scientific and non-scientific problems that occur in every-day life.

For more information, please visit the website http://www.illc.uva.nl/logic_tea/ or contact Thomas Brochhagen (t.s.brochhagen at uva.nl), Johannes Marti (johannes.marti at gmail.com), Masa Mocnik (masa.mocnik at gmail.com) or Julian Schloder (julian.schloeder at gmail.com).