Eilam Gross (Weizmann Institute) and Roberto Trotta (Imperial College London)
Organised by LZ-UK and IPPP/Durham
The interpretation of data from rare event searches is, perhaps surprisingly, remarkably complex.
Typically, one searches for a signal, of unknown rate and character, in the presence of a background, of often similarly unknown rate and character. Models for both may exist, but the sparsity of data compounds the uncertainty. In the face of such a challenge, two statistical pedagogies have arisen, broadly categorised as frequentist and Bayesian. Each has its strengths and its weaknesses.
In this workshop, both schools of thought will be presented, complemented by in-depth tutorial sessions to give hands-on experience in their application to case studies from leading rare event experimental data. The workshop should be of interest to all those working with sparse data.
School of Physics & Astronomy
University of Edinburgh