46 citations · 61 across the 9 of their papers we have counts for
3 papers · 1 filter
Variational inference of effective range parameters for He-He scattering
Andrius Burnelis, Vojta Kejzlar, Daniel R. Phillips
We use two different methods, Monte Carlo sampling and variational inference (VI), to perform a Bayesian calibration of the effective-range parameters in He-He elastic…
Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
Pablo Giuliani, Kyle Godbey, Vojtech Kejzlar +1
One can improve predictability in the unknown domain by combining forecasts of imperfect complex computational models using a Bayesian statistical machine learning framework. In ma…
Statistical aspects of nuclear mass models
Vojtech Kejzlar, Léo Neufcourt, Witold Nazarewicz +1
We study the information content of nuclear masses from the perspective of global models of nuclear binding energies. To this end, we employ a number of statistical methods and dia…