1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.CO2026
Hierarchical Bayesian Calibration with Bayesian Committee Machine
Sebastian Heinekamp, David M. Higdon, Andreas Adelmann
Calibrating computational models to experimental data is a core task in applied statistics, especially in scientific domains, where physical experiments are costly and simulations…
physics.comp-ph2023★ 1 cited
Uncertainty Quantification on Spent Nuclear Fuel with LMC
Arnau Albà, Andreas Adelmann, Dimitri Rochman
The recently developed method Lasso Monte Carlo (LMC) for uncertainty quantification is applied to the characterisation of spent nuclear fuel. The propagation of nuclear data uncer…