Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters

no code implementations • 16 Mar 2020 • Stefan Wunsch, Simon Jörger, Roger Wolf, Günter Quast

Data analysis in science, e. g., high-energy particle physics, is often subject to an intractable likelihood if the observables and observations span a high-dimensional input space.

Dimensionality Reduction Feature Engineering