Cargando…
Avoiding biases in binned fits
Binned maximum likelihood fits are an attractive option when analysing large datasets, but require care when computing likelihoods of continuous PDFs in bins. For many years the widely used statistical modelling package evaluated probabilities at the bin centre, leading to significant biases for str...
Autores principales: | Gligorov, V.V., Hageboeck, S., Nanut, T., Sciandra, A., Tou, D.Y. |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/16/08/T08004 http://cds.cern.ch/record/2767500 |
Ejemplares similares
-
Reproducible Experiment Platform
por: Likhomanenko, Tatiana, et al.
Publicado: (2015) -
Limits, discovery and cut optimization for a Poisson process with uncertainty in background and signal efficiency: TRolke 2.0
por: Lundberg, J., et al.
Publicado: (2009) -
Basics of Feature Selection and Statistical Learning for High Energy Physics
por: Vossen, Anselm
Publicado: (2008) -
A Multivariate Training Technique with Event Reweighting
por: Yang, Hai-Jun, et al.
Publicado: (2007) -
Software Challenges For HL-LHC Data Analysis
por: Amadio, Guilherme, et al.
Publicado: (2020)