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nucl-th2024
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…
nucl-th2024
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…