96 citations · 161 across the 4 of their papers we have counts for
4 papers
A Note on Using Discretized Simulated Data to Estimate Implicit Likelihoods in Bayesian Analyses
M. S. Hamada, T. L. Graves, N. W. Hengartner +9
This article presents a Bayesian inferential method where the likelihood for a model is unknown but where data can easily be simulated from the model. We discretize simulated (cont…
The Robustness of Cluster Expansion: Assessing the Roles of Relaxation and Numerical Error
Andrew H. Nguyen, Conrad W. Rosenbrock, C. Shane Reese +1
Cluster expansion (CE) is effective in modeling the stability of metallic alloys, but sometimes cluster expansions fail. Failures are often attributed to atomic relaxation in the D…
Cluster expansion made easy with Bayesian compressive sensing
Lance J Nelson, Vidvuds Ozolins, Shane Reese +2
Long-standing challenges in cluster expansion (CE) construction include choosing how to truncate the expansion and which crystal structures to use for training. Compressive sensing…
Parameter tuning for a multi-fidelity dynamical model of the magnetosphere
William Kleiber, Stephan R. Sain, Matthew J. Heaton +3
Geomagnetic storms play a critical role in space weather physics with the potential for far reaching economic impacts including power grid outages, air traffic rerouting, satellite…