5 papers
Empirical-Bayes Unfolding of -ray Spectra
A. H. Mjøs, E. Lima, A. Kvellestad +2
Unfolding observed -ray spectra is an ill-conditioned Poisson inverse problem. Detector response effects and finite energy resolution make distinct non-negative emitted -ra…
The asymptotic distribution of the likelihood ratio test statistic in two-peak discovery experiments
Clara Bertinelli Salucci, Hedvig Borgen Reiersrud, A. L. Read +2
Likelihood ratio tests are widely used in high-energy physics, where the test statistic is usually assumed to follow a chi-squared distribution with a number of degrees of freedom…
Regularized Unfolding of gamma-ray Spectra for Nuclear Physics Applications
E. Lima, L. L. Braseth, A. H. Mjøs +3
Reconstructing gamma-ray spectra from detector measurements is an ill-posed inverse problem. Standard methods, such as Folding Iteration with Compton Subtraction (FICS), provide po…
A note on the asymptotic distribution of the Likelihood Ratio Test statistic under boundary conditions
Clara Bertinelli Salucci, Anders Kvellestad, Riccardo De Bin
In the context of likelihood ratio testing with parameters on the boundary, we revisit two situations for which there are some discrepancies in the literature: the case of two para…
GPTreeO: An R package for continual regression with dividing local Gaussian processes
Timo Braun, Anders Kvellestad, Riccardo De Bin
We introduce GPTreeO, a flexible R package for scalable Gaussian process (GP) regression, particularly tailored to continual learning problems. GPTreeO builds upon the Dividing Loc…