Legend:
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