A novel approach to the bias-variance problem in bump hunting
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 probl...
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IOP Publishing
2019
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| Online Access: | http://hdl.handle.net/1721.1/120588 https://orcid.org/0000-0001-8285-3346 |