717 citations · 6.9k across the 43 of their papers we have counts for
45 papers
Unfolding problem clarification and solution validation
Nikolai Gagunashvili
The unfolding problem formulation for correcting experimental data distortions due to finite resolution and limited detector acceptance is discussed. A novel validation of the prob…
Densities mixture unfolding for data obtained from detectors with finite resolution and limited acceptance
Nikolai Gagunashvili
A procedure based on a Mixture Density Model for correcting experimental data for distortions due to finite resolution and limited detector acceptance is presented. Addressing the…
Chi-square goodness of fit tests for weighted histograms. Review and improvements
Nikolai Gagunashvili
Weighted histograms are used for the estimation of probability density functions. Computer simulation is the main domain of application of this type of histogram. A review of chi-s…
Kernel based unfolding of data obtained from detectors with finite resolution and limited acceptance
N. D. Gagunashvili, M. Schmelling
A kernel based procedure for correcting experimental data for distortions due to the finite resolution and limited detector acceptance is presented. The unfolding problem is known…
Classifying extremely imbalanced data sets
Markward Britsch, Nikolai Gagunashvili, Michael Schmelling
Imbalanced data sets containing much more background than signal instances are very common in particle physics, and will also be characteristic for the upcoming analyses of LHC dat…
Parametric fitting of data obtained from detectors with finite resolution and limited acceptance
N. D. Gagunashvili
A goodness-of-fit test for the fitting of a parametric model to data obtained from a detector with finite resolution and limited acceptance is proposed. The parameters of the model…