(2018/08) Xun Huan moved to Ann Arbor, MI to start a new position as an Assistant Professor of Mechanical Engineering at the University of Michigan.
(2018/07) Xun Huan gave a presentation titled “Optimal Bayesian Experimental Design of Borehole Locations for Inferring Past Ice Sheet Surface Temperature” at the SIAM Annual Meeting. More presentations by Cosmin Safta and Khachik Sargsyan.
(2018/06) Xun Huan presented a poster titled “Choosing Embedding for Capturing Model Misspecification Using Global Sensitivity Analysis and Bayes Factor Computation” at the ISBA World Meeting.
(2018/06) Xun Huan gave a presentation titled “Simulation-based Bayesian Experimental Design for Computationally Intensive Models” at the University of Cambridge Isaac Newton Institute for Mathematical Sciences, Programme on Uncertainty Quantification for Complex Systems: Theory and Methodologies, and as a part of the Manchester-Southampton-Glasgow Design of Experiments Seminar Series.
(2018/06) Xun Huan gave a presentation titled “Value of Feedback and Lookahead in Bayesian Sequential Optimal Experimental Design” at the Joint Research Conference on Statistics in Quality, Industry, and Technology.
(2018/04) Xun Huan gave a presentation titled “Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions” at the SIAM Conference on Uncertainty Quantification.
(2018/02) Xun Huan gave a presentation titled “Optimal Sequential Bayesian Experimental Design” at the workshop “Foresight for Making Good Future Predictions—Lookahead Optimization in Artificial and Natural Systems” held at the Santa Fe Institute.
(2018/01) Our paper preprint “Embedded Model Error Representation for Bayesian Model Calibration” is now available on arXiv.
(2018/01) Xun Huan gave a presentation titled “Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations” at the AIAA SciTech forum. Conference paper can be found here.
(2018/01) Our paper preprint “Compressive sensing adaptation for polynomial chaos expansions” is now available on arXiv.