3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
Thomas E. Coons, Aniket Jivani, Xun Huan
Monte Carlo integration becomes prohibitively expensive when each sample requires a high-fidelity model evaluation. Multi-fidelity uncertainty quantification methods mitigate this…
stat.CO2025★ 3 cited
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
Thomas E. Coons, Xun Huan
Optimal experimental design (OED) is a framework that leverages a mathematical model of the experiment to identify optimal conditions for conducting the experiment. Under a Bayesia…
stat.CO2024★ 1 cited
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
Atlanta Chakraborty, Xun Huan, Tommie Catanach
Conventional Bayesian optimal experimental design seeks to maximize the expected information gain (EIG) on model parameters. However, the end goal of the experiment often is not to…