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Books Year : 2014

Using Likelihood for Combined Data Set Analysis

Brandon Anderson
  • Function : Scientific advisor
James Chiang
  • Function : Scientific advisor
Johann Cohen-Tanugi
Jan Conrad
  • Function : Scientific advisor
Alex Drlica-Wagner
  • Function : Scientific advisor
Maja Llena Garde
  • Function : Scientific advisor
Stephan Zimmer For The Fermi Lat Collaboration
  • Function : Scientific advisor


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.

Dates and versions

hal-02008681 , version 1 (05-02-2019)



Brandon Anderson, James Chiang, Johann Cohen-Tanugi, Jan Conrad, Alex Drlica-Wagner, et al. (Dir.). Using Likelihood for Combined Data Set Analysis. 2014. ⟨hal-02008681⟩
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