2022
DOI: 10.1016/j.nima.2021.165939
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Reformulation of a likelihood approach to fake-lepton estimation in the framework of Bayesian inference

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“…In this method [5]1 the elements of N t rf are treated as free parameters, which are varied to maximise the likelihood of the observed N tl values. By doing so, the Poisson-distributed nature of the N tl values is taken into account, so there is no need to use the asymptotic approximation.…”
Section: Poisson Likelihood Matrix Methodsmentioning
confidence: 99%
“…In this method [5]1 the elements of N t rf are treated as free parameters, which are varied to maximise the likelihood of the observed N tl values. By doing so, the Poisson-distributed nature of the N tl values is taken into account, so there is no need to use the asymptotic approximation.…”
Section: Poisson Likelihood Matrix Methodsmentioning
confidence: 99%