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stat.AP2022
Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
Tudor Manole, Patrick Bryant, John Alison +2
We study the problem of data-driven background estimation, arising in the search of physics signals predicted by the Standard Model at the Large Hadron Collider. Our work is motiva…
math.ST2022★ 1 cited
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
Tudor Manole, Nhat Ho
We revisit the classical problem of deriving convergence rates for the maximum likelihood estimator (MLE) in finite mixture models. The Wasserstein distance has become a standard l…