46 citations · 61 across the 9 of their papers we have counts for
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stat.ME2023
Local Bayesian Dirichlet mixing of imperfect models
Vojtech Kejzlar, Léo Neufcourt, Witold Nazarewicz
To improve the predictability of complex computational models in the experimentally-unknown domains, we propose a Bayesian statistical machine learning framework utilizing the Diri…
stat.ME2019★ 7 cited
Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective
Vojtech Kejzlar, Léo Neufcourt, Taps Maiti +1
This article studies Bayesian model averaging (BMA) in the context of competing expensive computer models in a typical nuclear physics setup. While it is well known that BMA accoun…