A novel approach to the bias-variance problem in bump hunting

10 May 2017Mike Williams

This study explores various data-driven methods for performing background-model selection, and for assigning uncertainty on the signal-strength estimator that arises due to the choice of background model. The performance of these methods is evaluated in the context of several realistic example problems... (read more)

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