LPBkg - Detecting New Signals under Background Mismodelling
Given a postulated model and a set of data, the comparison density is estimated and the deviance test is implemented in order to assess if the data distribution deviates significantly from the postulated model. Finally, the results are summarized in a CD-plot as described in Algeri S. (2019) <arXiv:1906.06615>.
Last updated 5 years ago
1.48 score 1 dependents 197 downloadsTOHM - Testing One Hypothesis Multiple Times
Approximations of global p-values when testing hypothesis in presence of non-identifiable nuisance parameters. The method relies on the Euler characteristic heuristic and the expected Euler characteristic is efficiently computed by in Algeri and van Dyk (2018) <arXiv:1803.03858>.
Last updated 4 years ago
1.00 score 182 downloads