We present recent results aiming at assessing the coverage properties of Bayesian and frequentist inference methods, as applied to the reconstruction of supersymmetric parameters from simulated LHC data. We discuss the statistical challenges of the reconstruction procedure, and highlight the algorithmic difficulties of obtaining accurate profile likelihood estimates.
Statistical Challenges of Global SUSY Fits / Trotta, R.; Cranmer, K.. - CERN-2011-006:(2011), pp. 170-176. (Intervento presentato al convegno Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding tenutosi a 17-20 January 2011) [10.5170/CERN-2011-006.170].
Statistical Challenges of Global SUSY Fits
Trotta, R.;
2011-01-01
Abstract
We present recent results aiming at assessing the coverage properties of Bayesian and frequentist inference methods, as applied to the reconstruction of supersymmetric parameters from simulated LHC data. We discuss the statistical challenges of the reconstruction procedure, and highlight the algorithmic difficulties of obtaining accurate profile likelihood estimates.| File | Dimensione | Formato | |
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