About
The starting point for a statistically sound reinterpretation of an experimental result is the likelihood function, which encodes the probability of the observed data given an assumed model. When multiple experimental results are considered, as in global fits, a composite likelihood function is used, constructed from likelihood components for all the measurements included in the fit.
In most cases the formulation of a likelihood function necessarily involves some approximations. In this talk we will discuss some challenges and subtleties associated with the construction and use of approximate likelihood functions. In particular, we consider how different levels of detail in the likelihood information can impact the results of global fits, and the associated computational expense..
0:00:00 Slide 1
0:02:33 Slide 2
0:05:05 Slide 3
0:07:37 Slide 4
0:10:09 Slide 5
0:12:42 Slide 6
0:15:14 Slide 7
0:17:46 Slide 8
0:20:18 Slide 9
0:22:50 Slide 10
The talk
Credits and licence
- Institution
- CERN
- Department
- LPCC Workshops
- Speaker
- Andrew Fowlie
- Year
- 2021
- Language
- English
- Subjects
- Physics
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed