| RHCPP 06-02 (TALK) |
| 2006 |
|
Bayesian statistical methods for parton analyses |
|---|
| Glen Cowan |
| Abstract: |
| Theoretical and other systematic uncertainties dominate in the predictions for many observables at the LHC, and it is precisely these types of error that can be best quantified using Bayesian statistics. Difficulties with current methods used in parton fits will be discussed. In particular the question of incompatible data sets will be addressed. |
|
| Available format: ppt / pdf |
| presented at the 14th International Workshop on Deep Inelastic Scattering (DIS 2006), 20 - 24 April 2006, Tsukuba, Japan |