2015/01/09 by Golchi, Shirin, Lockhart, Richard
#Applications (stat.AP) #FOS: Computer and information sciences
paper · doi:10.48550/arxiv.1501.02226
The statistical procedure used in the search for the Higgs boson is investigated in this paper. A Bayesian hierarchical model is proposed that uses the information provided by the theory in the analysis of the data generated by the particle detectors. In addition, we develop a Bayesian decision making procedure that combines the two steps of the current method (discovery and exclusion) into one and can be calibrated to satisfy frequency theory error rate requirements. .