Using Likelihood for Combined Data Set Analysis
High Energy Astrophysical Phenomena
2019-08-14 v1
Abstract
The joint likelihood is a simple extension of the standard likelihood formalism that enables the estimation of common parameters across disjoint datasets. Joining the likelihood, rather than the data itself, means nuisance parameters can be dealt with independently. Application of this technique, particularly to Fermi-LAT dwarf spheroidal analyses, has already been met with great success. We present a description of the method's general implementation along with a toy Monte-Carlo study of its properties and limitations.
Keywords
Cite
@article{arxiv.1502.03081,
title = {Using Likelihood for Combined Data Set Analysis},
author = {Brandon Anderson and James Chiang and Johann Cohen-Tanugi and Jan Conrad and Alex Drlica-Wagner and Maja Llena Garde and Stephan Zimmer},
journal= {arXiv preprint arXiv:1502.03081},
year = {2019}
}
Comments
2014 Fermi Symposium proceedings - eConf C14102.1