The lecture will address the topic of combining information
from different sources in an analysis of Particle Physics data.
The general formalism by which this is done in both the
Bayesian and Frequentist approaches will first be reviewed.
Combination of results relies fundamentally on constructing
a likelihood that reflects all of the available data. Often this
The lecture will address practical aspects and possible pitfalls
when combining particle physics measurements or limits and will
give pointers to methods and tools that can be used for that
purpose. One particular focus will be the combination of single
valued and multiple valued (differential) measurements with
complex correlations between their nuisance parameters. The
The statistical model is the a unique summary of a physics
analysis from which many of the key results can be derived
from. Preserving it allows not only the reproduction of key
results but also its reuse in statistical combinations and
reinterpretations. In this talk we will cover how to best
publish statistical model data to enable these use-cases.
A different way of making...