The statistical models used to derive the results of experimental analyses are of incredible scientific value and are essential information for analysis preservation and reuse. In arXiv:2109.04981, we made the scientific case for systematically publishing the full statistical models; we discussed the technical developments that make this practical, and illustrated by a variety of physics cases how detailed information on the statistical modelling can enhance the short- and long-term impact of experimental results
This workshop is intended as the first in a series to discuss in more detail practical issues for publishing statistical models and likelihoods, and work towards concrete solutions.
In this context note also the PHYSTAT workshop on systematics (Nov 1-3 + Nov 10) and in particular the talk by Kyle Cranmer on "A call to action: Honoring PHYSTAT's 20 year old agreement" at 6 pm CET on Nov 1st there, which will also in part set the stage for our workshop here.
Overall, apart from the first two days the workshop addresses a rather specialized audience, i.e. people want to who work on technical solutions for publishing and/or (re)using statistical models and likelihoods.
Slides and recordings of all sessions are available via the timetable.
