Introduction to Bayesian Inference

Bayesian Inference is an essential part of the analysis toolkit in many branches of physics. On the other hand, it is a very active field of research for the statistics community, nowadays offering very efficient and sophisticated methods which some communities in physics are recently starting to adopt. The scope of these lectures is two-fold: 1) to provide the basis knowledge allowing to understand relevant aspects and assumptions of typical statistical analyses, and 2) to show modern approaches to Bayesian inference making possible analyses which are intractable with traditional methods.  

The format will be mostly blackboard, with numerical examples from python code.