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571 * ! Thu, 8/6/2020, 3:00 PM - 4:50 PM Virtual
Emerging Issues in Uncertainty Quantification for Computer Experiments — Topic Contributed Papers
Section on Physical and Engineering Sciences, Uncertainty Quantification in Complex Systems Interest Group, Section on Bayesian Statistical Science, Quality and Productivity Section
Organizer(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
Chair(s): Pulong Ma, The Statistical and Applied Mathematical Sciences Institute
3:05 PM Assessing Variable Activity for Bayesian Additive Regression Trees
Akira Horiguchi, The Ohio State University; Matthew Pratola, The Ohio State University; Thomas J Santner, The Ohio State University
3:25 PM Orthogonal Decomposable Gaussian Processes of Large Incomplete Matrices
Mengyang Gu, University of California, Santa Barbara
3:45 PM Sequential Design of High-Dimensional Multifidelity Computer Models
Bledar Konomi, University of Cincinnati; Pulong Ma, The Statistical and Applied Mathematical Sciences Institute; Georgios Karagiannis, Durham University
4:05 PM A Two-Stage Framework for Constraint Optimization in Computer Experiments with Applications in Materials Science
Jiazhao Zhang; Ying Hung, Rutgers University
4:25 PM Floor Discussion