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* = applied session       ! = JSM meeting theme

Activity Details


52
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Statistical Process Control — Contributed Papers
Quality and Productivity Section
Chair(s): David Edwards, Virginia Commonwealth University
Multivariate Semiparametric Control Charts for Mixed-Type Data
Elisavet Sofikitou, University at Buffalo, Department of Biostatistics, USA; Marianthi Markatou, University at Buffalo; Markos Koutras, University of Piraeus, Department of Statistics and Insurance Science, Greece
Control Charts for Monitoring the Lognormal Mean and Standard Deviation Presentation
Wei-Heng Huang, Feng Chia University
New Design Criterion of Variance Control Charts with Estimated Parameters
Martín Guillermo Cornejo Sarmiento, University of Lima; Subhabrata Chakraborti, University of Alabama
A Generalized Bayesian EWMA Control Chart Presentation
Chelsea Mitchell, Virginia Commonwealth University; Abdel-Salam Abdel-Salam, Qatar University; D'Arcy Mays, Virginia Commonwealth University
A Tensor-Response Mixed Effects Model for Gauge RandR Studies
Carlos Llosa, Iowa State University; Ranjan Maitra, Iowa State University
Corrections for the Effects of Parameter Estimation on the Modified and Acceptance Control Charts
Felipe Jardim, Fluminense Federal University (UFF); Bruna Ker, Federal University of São Carlos; Subhabrata Chakraborti, University of Alabama; Pedro Oprime, Federal University of São Carlos
 
 

73 *
Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Modeling Spatial and Statio-Temporal Data — Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Chair(s): Mary Dorn, Los Alamos National Laboratory
Detecting Changes in Self-Exciting Point Processes Through Trend Reversal
Moinak Bhaduri, Bentley University; Anuja Das, Bentley University
Characterizing Spatio-Temporal Trends in Extreme Precipitation in Southeast Texas
Carly Fagnant, Rice University - Statistics; Avantika Gori, Princeton University - Civil & Environmental Engineering; Antonia Sebastian, The University of North Carolina at Chapel Hill - Geological Sciences; Philip Bedient, Rice University - Civil & Environmental Engineering; Katherine Ensor, Rice University
Neighborhood Vector Autoregressive Model for Multivariate Time Series of Stream Nitrogen
Zhihao Hu, Virginia Tech; Shyam Ranganathan, Virginia Tech; Yang Shao, Virginia Tech; Xinwei Deng, Virginia Tech
Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
Jieying Jiao, University of Connecticut; Guanyu Hu, University of Connecticut ; Jun Yan, University of Connecticut
Simulating cloud-aerosol interactions made by ship emissions
Lyndsay Shand, Sandia National Laboratories; Lekha Patel, Sandia National Laboratories
Estimating a SARAR Model Based on the Indirect Inference Principle
Xiaotian Liu
 
 

89
Mon, 8/3/2020, 12:00 PM - 1:00 PM Virtual
Quality and Productivity Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Quality and Productivity Section
ML05: Reliability Analysis in the Era of Big Data and Artificial Intelligence
Yili Hong
 
 

199
Tue, 8/4/2020, 10:00 AM - 2:00 PM Virtual
Innovations in Modeling Computer Experiments — Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Chair(s): Bledar Konomi, University of Cincinnati
Bayesian Optimization via Barrier Functions
Tony Pourmohamad, Genentech; Herbert Lee, Univ of California, Santa Cruz
Calibration of Inexact Computer Models with Heteroscedastic Errors Presentation
Chih-Li Sung, Michigan State University; Beau David Barber, University of Illinois at Urbana-Champaign; Berkley J. Walker, Michigan State University
Quantifying Uncertainties of Microscopic Nuclear Theories
Kevin Quinlan, Lawrence Livermore National Laboratory
Prediction for Distributional Outcomes in High-Performance Computing I/O Variability
Li Xu, Virginia Tech; Yili Hong; Layne Watson, Department of Computer Science, Virginia Tech; Kirk Cameron, Department of Computer Science, Virginia Tech
Statistical Emulation for High-Dimensional Complex Simulators
Gang Yang, University of Cincinnati; Emily Kang, University of Cincinnati ; Bledar Konomi, University of Cincinnati
Local Inducing Point Gaussian Processes for Large-Scale Simulation Experiments
David Austin Cole, Virginia Tech; Ryan Christianson, Virginia Tech; Robert Gramacy, Virginia Tech
Estimating Repeatability and Reproducibility with Limited Replications
Hina Arora; Naomi Kaplan Damary, Postdoctoral scholar, University of California, Irvine; Hal Stern, Vice Provost for Academic Planning Office of the Provost and Chancellor's Professor
 
 

200
Tue, 8/4/2020, 10:00 AM - 2:00 PM
New Developments in the Design of Experiments — Contributed Papers
 
 

204
Tue, 8/4/2020, 10:00 AM - 2:00 PM
Experimental Design — Contributed Papers
 
 

214
Tue, 8/4/2020, 10:00 AM - 2:00 PM
Contributed Poster Presentations: Quality and Productivity Section — Contributed Poster Presentations
 
 

230
Tue, 8/4/2020, 12:00 PM - 1:00 PM
Quality and Productivity Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
 
 

250 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM
The Future of Designed Experiments in the Era of Big Data — Invited Papers
2:45 PM Floor Discussion
 
 

253 * !
Tue, 8/4/2020, 1:00 PM - 2:50 PM
Innovations in AstroStatistics on Exploring Large Public Data — Invited Papers
2:20 PM Floor Discussion
 
 

257 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM
Online Experimentation at Scale: Challenges and Solutions — Invited Panel
2:40 PM Floor Discussion
 
 

265 *
Tue, 8/4/2020, 1:00 PM - 2:50 PM
Innovations in Statistics for Astronomy and Space Physics — Topic Contributed Papers
2:45 PM Floor Discussion
 
 

271 * !
Tue, 8/4/2020, 1:00 PM - 2:50 PM
Statistical Modeling and Uncertainty Quantification for Atmospheric Remote Sensing Retrievals — Topic Contributed Papers
2:45 PM Floor Discussion
 
 

309 *
Wed, 8/5/2020, 10:00 AM - 11:50 AM
Interface Between Machine Learning and Uncertainty Quantification — Topic Contributed Papers
11:25 AM Floor Discussion
 
 

333
Wed, 8/5/2020, 10:00 AM - 2:00 PM
Topics in Reliability, Data Visualization and Modeling — Contributed Papers
 
 

348 *
Wed, 8/5/2020, 10:00 AM - 2:00 PM
Statistical Engineering and Applications in Physical Sciences — Contributed Papers
 
 

372
Wed, 8/5/2020, 12:00 PM - 1:00 PM
Quality and Productivity Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
 
 

391 * !
Wed, 8/5/2020, 1:00 PM - 2:50 PM
Mathematical and Statistical Synergies in Uncertainty Quantification — Invited Papers
2:20 PM Floor Discussion
 
 

431 * !
Thu, 8/6/2020, 10:00 AM - 11:50 AM
Astronomical(Ly) Big Data for Statisticians — Invited Papers
11:45 AM Floor Discussion
 
 

473
Thu, 8/6/2020, 10:00 AM - 2:00 PM
Design of Experiments and Advanced Analytics — Contributed Papers
 
 

539 *
Thu, 8/6/2020, 1:00 PM - 2:50 PM
Challenging Signal Detection Problems in Astronomy — Topic Contributed Papers
2:45 PM Floor Discussion
 
 

559 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Foundations of Data Science: The TRIPODS Experience — Invited Papers
4:45 PM Floor Discussion
 
 

562 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Statistical Methods for Multivariate Spatial and Spatio-Temporal Models with Application to the Environment — Invited Papers
4:45 PM Floor Discussion
 
 

571 * !
Thu, 8/6/2020, 3:00 PM - 4:50 PM
Emerging Issues in Uncertainty Quantification for Computer Experiments — Topic Contributed Papers
4:25 PM Floor Discussion