Speaker
Mattia Bruno
(Universita' di Milano-Bicocca)
Description
Observables in particle physics and specifically in lattice QCD calculations are often extracted from fits. Standard chi^2 tests require a reliable determination of the covariance matrix and its inverse from correlated and auto-correlated data, a challenging task often leading to close-to-singular estimates. These motivate modifications of the definition of chi^2 such as uncorrelated fits. We show how the goodness-of-fit measured by their p-value can still be estimated robustly for a broad class of such fits.
Primary author
Mattia Bruno
(Universita' di Milano-Bicocca)
