169 citations · 341 across the 21 of their papers we have counts for
3 papers · 1 filter
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics
D. R. Phillips, R. J. Furnstahl, U. Heinz +8
We describe the Bayesian Analysis of Nuclear Dynamics (BAND) framework, a cyberinfrastructure that we are developing which will unify the treatment of nuclear models, experimental…
Assessing variable activity for Bayesian regression trees
Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner
Bayesian Additive Regression Trees (BART) are non-parametric models that can capture complex exogenous variable effects. In any regression problem, it is often of interest to learn…
Designing Optimal Experiments: An Application to Proton Compton Scattering
J. A. Melendez, R. J. Furnstahl, H. W. Griesshammer +3
Interpreting measurements requires a physical theory, but the theory's accuracy may vary across the experimental domain. To optimize experimental design, and so to ensure that the…