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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

600 ! Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-111
Less Can Be More: Smart Sampling in Data and Engineering Sciences — Topic Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistical Learning and Data Science
Organizer(s): Xinwei Deng, Virginia Tech; C. Devon Lin, Queen's University
Chair(s): Xinwei Deng, Virginia Tech
8:35 AM Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

Robert Gramacy, Virginia Tech; Mickael Binois, Argonne National Laboratory; Jiangeng Huang, Virginia Tech; Mike Ludkovsku, UC Santa Barbara
8:55 AM Choosing the Best Partition for the Output from a Large-Scale Simulation

Emily Casleton, Los Alamos National Laboratory; Chelsea Challacombe, University of California-San Diego; Jonathan Woodring, Los Alamos National Laboratory
9:15 AM Support Points: An Optimal and Model-Free Method for Subsampling Big Data
Roshan Vengazhiyil, Georgia Institute of Technology; Simon Mak, Georgia Institute of Technology
9:35 AM Varying Coefficient Frailty Models with Applications in Single Molecular Experiments

Jiazhao Zhang, Rutgers University; Ying Hung, Rutgers University; Tirthankar Dasgupta, Rutgers University
9:55 AM Meta-Modeling for ICU Contamination Transmission Simulations: Using Smart Sampling and Machine Learning to Link Data to Simulation Parameters

Ben Haaland, University of Utah; Damon Toth, University of Utah; Molly Leecaster, University of Utah
10:15 AM Floor Discussion