Speaker
Robert Szafron
(Brookhaven National Laboratory)
Description
Constantly increasing accuracy of the experimental data and high-order calculations
require rethinking the theoretical uncertainties due to the missing higher orders.
The traditionally used simple but ad hoc scale variation prescription has no
probabilistic interpretation. The Bayesian approach to theoretical uncertainties
introduced by Cacciari and Houdeau offers an alternative. I will discuss the pros
and cons of the Bayesian approach, present recent developments, and illustrate
them with some practical examples.
Author
Robert Szafron
(Brookhaven National Laboratory)
