1st Pan-European Advanced School on Statistics in High Energy Physics

Session

Session 7

31 Oct 2019, 13:15

SR 4a/b (DESY Hamburg)

13. Introduction to Unfolding Methods in HEP II

Prof. Mikael Kuusela (Carnegie Mellon University)

31/10/2019, 13:30

* Why is unfolding needed and why is it difficult? * Overview of common unfolding methods * Choice of the regularization strength * Uncertainty quantification

14. RooFitUnfold Tutorial

Carsten Burgard (Nikhef), Dr Lydia Brenner (DESY), Mr Pim Verschuuren (Royal Holloway, University of London)

31/10/2019, 14:15

Introduction to Unfolding inside RooFit. Includes - preparing inputs - choosing unfolding method, - systematics handling and bias calculation. In this tutorial you learn to set up your analysis using unfolding from start to finish using realistic physics examples.

26. RooFitUnfold Tutorial II

Carsten Burgard (Nikhef), Dr Lydia Brenner (DESY), Pim Verschuren (Royal Holloway, University of London)

31/10/2019, 16:15

27. Approximate Bayesian Computing

Chad Shafer (CMU)

31/10/2019, 17:30

This lecture will provide an overview of approximate Bayesian computation (ABC), starting with a focus on the motivation for the procedure, including when it makes sense to utilize it. The resulting approximation can be thought of as calculating the posterior under a contaminated data set; this interpretation provides a useful context for the procedure. The main challenge to using...