| Home > Publications database > On fits to correlated and auto-correlated data |
| Preprint | PUBDB-2022-05083 |
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2022
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Please use a persistent id in citations: doi:10.3204/PUBDB-2022-05083
Report No.: DESY-22-154; arXiv:2209.14188
Abstract: 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.
Keyword(s): lattice field theory ; covariance
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Journal Article
On fits to correlated and auto-correlated data
Computer physics communications 285, 108643 (2023) [10.1016/j.cpc.2022.108643]
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