Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

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

Activity Details

CE_03C	Sat, 7/27/2019, 8:30 AM - 5:00 PM	CC-403/404
Big Data, Data Science and Deep Learning for Statistician (ADDED FEE) — Professional Development Continuing Education Course
ASA, Quality and Productivity Section, Section on Physical and Engineering Sciences
Instructor(s): Ming Li, Amazon; Hui Lin, Netlify
With recent big data, data science and deep learning revolution, enterprises ranging from FORTUNE 100 to startups across the world are hungry for data scientists and machine learning scientists to bring actionable insight from the vast amount of data collected. In the past a couple of years, deep learning has gained traction in many application areas and it becomes an essential tool in data scientist’s toolbox. In this course, participant will develop a clear understanding of the big data cloud platform, technical skills in data sciences and machine learning, and especially the motivation and use cases of deep learning through hands-on exercises. We will also cover the “art” part of data science and machine learning to guide participants to learn typical agile data science project flow, general pitfalls in data science and machine learning, and soft skills to effectively communicate with business stakeholders. The big data platform, data science, and deep learning overviews are specifically designed for audience with statistics education background. This course will prepare statisticians to be successful data scientists and machine learning scientist in various industries and business sectors with deep learning as focuses.
8:30 AM	Big Data, Data Science and Deep Learning for Statistician (ADDED FEE) Hui Lin, Netlify; Ming Li, Amazon

36	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-507
Statistcal Theory and Uncertainty Quantification in Physical Sciences — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): Wenjia Wang, SAMSI
2:05 PM	Weibull-Normal Distribution and Its Applications Presentation Felix Famoye, Central Michigan University
2:20 PM	Uncertainty Quantification for Parallel Discrete Event Simulation Presentation Kevin Quinlan, Lawrence Livermore National Laboratory; Jim Leek, Lawrence Livermore National Laboratory ; Charles Tong, Lawrence Livermore National Laboratory ; Joshua Sherfield, Lawrence Livermore National Laboratory
2:35 PM	Convergence and Asymptotic Normality for Identification of Systems with Subsystems Presentation Long Wang, Johns Hopkins University; Jingyi Zhu, Johns Hopkins University; James C. Spall, Applied Physics Laboratory
2:50 PM	An Overview of Statistical Methods Used in Nuclear Safeguards Presentation Thomas Burr, Los Alamos National Laboratory; Elisa Bonner, Colorado State University; Sarah Michalak, Los Alamos National Labs; Claude Norman, IAEA
3:05 PM	Spectral Model Selection for Electronic Measurement of the Boltzmann Constant Presentation Kevin J Coakley, National Institute of Standards and Technology
3:20 PM	Planning Gamma Accelerated Degradation Tests with Two Accelerating Variables Presentation Hung Ping Tung, National Tsing Hua University (Taiwan); Sheng-Tsaing Tseng, National Tsing Hua university
3:35 PM	Floor Discussion

62 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-702
Data Fusion: An Exploration of Practical Aspects — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Section on Statistics in Defense and National Security
Organizer(s): Emily Casleton, Los Alamos National Laboratory
Chair(s): Kimberly Kaufeld, Los Alamos National Laboratory
4:05 PM	Bayesian Analysis of Multivariate One-Way ANOVA Model Zhuoqiong He
4:25 PM	Data Fusion with Transition-Constrained Diarization Goran Konjevod, Lawrence Livermore National Laboratory; Jason Lenderman, LLNL
4:45 PM	Computational and Interpretational Considerations for Multivariate Analytics in Nuclear Nonproliferation Multisensor Arrays Presentation Marylesa Howard, Nevada National Security Site; Aaron Luttman, Nevada National Security Site; Bethany Goldblum, University of California Berkeley; Christopher Stewart, University of California Berkeley; Zoe Gastelum, Sandia National Laboratories; Boian Alexandrov, Los Alamos National Laboratory; Margaret Hoeller, Nevada National Security Site; Daniel J. Champion, Nevada National Security Site
5:05 PM	Data Fusion and Feature Selection to Inform the State of a Nuclear Reactor Presentation Nidhi Parikh, Los Alamos National Laboratory; Garrison Flynn, Los Alamos National Laboratory; Adin Egid, Los Alamos National Laboratory; Emily Casleton, Los Alamos National Laboratory
5:25 PM	Integrated Statistical Learning and Feature Selection for Improved Biomarker Discovery Presentation Lisa Bramer, Pacific Northwest National Laboratory; Bobbie-Jo Webb-Robertson, Pacific Northwest National Laboratory; Sarah Reehl, Pacific Northwest National Laboratory
5:45 PM	Floor Discussion

218917	Mon, 7/29/2019, 7:00 AM - 10:00 AM	H-Mineral Hall B
SPES Executive Committee Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences
Chair(s): Byran Smucker, Miami University

94	Mon, 7/29/2019, 7:00 AM - 8:15 AM	H-Centennial Ballroom G-H
Section on Physical and Engineering Sciences A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Mary Frances Dorn, Los Alamos National Laboratory
ML05:	Balancing Objectives in Multi-Faceted Decision-Making Lu Lu, University of South Florida

134 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-707
Design of Experiments: Case Studies and Advancements — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): Cora Allen-Coleman, University of Wisconsin - Madison
8:35 AM	A Practical Framework for the Design and Analysis of Crossover Experiments Katherine Allen Moyer, North Carolina State University; Jonathan Stallrich, North Carolina State University
8:50 AM	Optimal Experimental Design for High-Dimensional Asymptotically Optimal Confidence Regions Binjie Luo, University of Nebraska-Lincoln; Kent Eskridge, University of Nebraska-Lincoln
9:05 AM	Optimal Design for Estimating the Boltzmann-Enhanced Langmuir-Hinshelwood (BLH) Model for Graphite Oxidation Rates Robert Mee, University of Tennessee; Cristian Contescu, Oak Ridge National Laboratory
9:20 AM	A Nonlinear Regression and Experimental Design Approach for Nuclear Waste Glass Properties Presentation Bryan Stanfill, Pacific Northwest National Lab; Greg Piepel, PNNL; Scott Cooley, PNNL; Charmayne Lonergan, PNNL; Jared Kroll, PNNL; John Vienna, PNNL
9:35 AM	Iterative Design with Humans-In-The-Loop for Functional Data Analysis Claire McKay Bowen, Los Alamos National Laboratory; Joanne Wendelberger, Los Alamos National Laboratory
9:50 AM	Sign-Informative Design and Analysis of Supersaturated Designs Jonathan Stallrich, North Carolina State University; Maria Weese, Miami University; Byran Smucker, Miami University; David Edwards, Virginia Commonwealth University
10:05 AM	Augmenting Definitive Screening Designs for Prediction via the Full Quadratic Model Abigael Nachtsheim, Arizona State University

151 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-505
Beyond the VAR: Advances in Spatial and Spatio-Temporal Modeling for Climate and Environmental Data — Invited Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, National Research Center for Statistics for the Environment
Organizer(s): Laura L Tupper, Williams College
Chair(s): Hannah Director, University of Washington
10:35 AM	Spatial Extreme Value Analysis Presentation Eric Gilleland, National Center for Atmospheric Research
11:00 AM	Modeling Spatio-Temporal Clustering Behavior for Climate Data Laura L Tupper, Williams College
11:25 AM	Hybrid Statistical/Machine Learning Deep Dynamical Spatio-Temporal Models for Evaluating Climate Impacts Presentation Christopher K. Wikle, University of Missouri
11:45 AM	Understanding Urban Pollution Through Spatial-Temporal Modeling Presentation Katherine Ensor, Rice University; Julia Schedler, Rice University
12:15 PM	Floor Discussion

161 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-301
Dynamic Interactive Data Visualization and Utilization — Topic Contributed Papers
Section on Statistical Graphics, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Blanton Godfrey, North Carolina State University
Chair(s): Blanton Godfrey, North Carolina State University
10:35 AM	Visual Analytics Driven Human-Computer Collaborative Decision Making to Solve Global Challenges David S. Ebert, Purdue
10:55 AM	Data Visualization Challenges in Reducing Maternal and Child Mortality in Support of the UN's Sustainable Development Goal 3 Presentation Shaghayegh Arangdad; Blanton Godfrey, North Carolina State University
11:15 AM	Applying Dynamic Interactive Visualization for Statistical Discovery in JMP Presentation Boyd Alexander Gregg, III, SAS Institute, Inc.
11:35 AM	Using Leaflet.Js to Interactively Map the Opioid Crisis Presentation Peter Herman, NORC at the University of Chicago; Ned English, NORC at the University of Chicago
11:55 AM	Discussant: Lori H. Rothenberg, North Carolina State Un.
12:15 PM	Floor Discussion

188	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Physical and Engineering Sciences — Contributed Poster Presentations
Section on Physical and Engineering Sciences
Chair(s): Wendy Meiring, University of California At Santa Barbara
36:	Evaluating Sensitivity of Beryllium Flyer Plate Simulations to Strength Parameterization Eva Marie Tourangeau, Los Alamos National Laboratory; Kyle Hickmann, Los Alamos National Laboratory
37:	Data Visualization for Oil and Gas Pipeline Anomalies and Repairs Using R Shiny William Harper, DNV GL; Adriana V Nenciu, Otterbein University; Benjamin Hanna, DNV GL
38:	The Fundamental Diagram and the Statistics of a Passageway Guillermo Frank, Universidad de Buenos Aires; Ignacio Sticco, Universidad de Buenos Aires; Fernando Cornes, Universidad de Buenos Aires; Claudio Dorso, Universidad de Buenos Aires
39:	Comparing Variance-Based Versus Count Methods for Determining Variable Activity in Bayesian Additive Regression Trees Akira Horiguchi, The Ohio State University
40:	Examining Driver Risk Factors in Road Departure Accidents Using Longitudinal Data Collected for a Fixed Cohort of Drivers Peter Hovey, University of Dayton; Deogratias Eustace, University of Dayton; Danah Alshatti, University of Dayton
41:	An Expectation-Maximization (EM) Algorithm for Orbit Linkage and Determination Jason Bernstein, Lawrence Livermore National Laboratory
42:	Quantum Channel Probing with Indefinite Causal Ordering Michael Frey, National Institute of Standards and Technology; Eric Johnson, University of Colorado
43:	Vetting the Energy and Security of Smart Buildings with Data Science Dinuka Gallaba, Southern Illinois University; Zhen Li, Purdue University; MyVan Vo, Purdue University
45:	Modeling Differences in Car-Following Behavior Between Driver Age Groups Raul Avelar, Texas A&M Transportation Institute
46:	Design of Experiments for High-Performance Computing Variability Management Yueyao Wang, Virginia Tech; Li Xu, Virginia Tech

202	Mon, 7/29/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Physical and Engineering Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Mary Frances Dorn, Los Alamos National Laboratory
ML13:	Advancing the State-Of-The-Art for Statistical Tolerance Regions: Addressing Methods and Computing for Researchers and Practitioners Derek Young, University of Kentucky

214 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-203
Combinatorial Testing: Using Covering Arrays to Maximize the Impact of Testing — Invited Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistics in Defense and National Security
Organizer(s): Michael Crotty, SAS
Chair(s): Michael Crotty, SAS
2:05 PM	Factorial Experiments, Covering Arrays, and Combinatorial Testing Raghu Kacker, National Institute of Standards and Technology; Rick Kuhn, National Institute of Standards and Technology; Yu Lei, University of Texas at Arlington; Dimitris Simos, SBA-Research, Austria
2:30 PM	The Construction of ?-Bad Covering Arrays Presentation Dennis Lin, The Pennsylvania State University; Kevin Quinlan, The Pennsylvania State University
2:55 PM	Analysis and Evaluation of Covering Arrays Using Prior Information Ryan Lekivetz, JMP Division of SAS; Joseph Morgan, JMP Division of SAS
3:20 PM	Visualizing Covering Arrays Using Design Fractals Presentation Caleb King, JMP Division of SAS; Joseph Morgan, JMP Division of SAS; Ryan Lekivetz, JMP Division of SAS
3:45 PM	Floor Discussion

297	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-501
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, International Chinese Statistical Association, Quality and Productivity Section, Section on Statistical Graphics, Section on Physical and Engineering Sciences, ASA LGBT Concerns Committee, Section on Statistics in Imaging
Chair(s): Rajarshi Guhaniyogi, University of California, SC
Poster Presentations for this session.
8:35 AM	Subfield Yield Analysis for Precision Agriculture Presentation Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
8:40 AM	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Presentation Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
8:45 AM	A Bayesian Approach for Estimating Earth’s "missing" Minerals Presentation Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
8:50 AM	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
8:55 AM	Air Pollutant Prediction from Precipitation Presentation 1 Presentation 2 Presentation 3 Patrick Chang, JLS Middle School
9:00 AM	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Presentation 1 Presentation 2 Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
9:05 AM	Exploratory Data Analysis of US Air Quality Presentation Xuemao Zhang, East Stroudsburg University
9:10 AM	Visualizing a Cyber Physical System in Drill Down Perspective Presentation Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:15 AM	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
9:20 AM	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Presentation 1 Presentation 2 Maoran Xu, University of Florida; Li Duan, University of Florida
9:30 AM	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Presentation Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
9:35 AM	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
9:40 AM	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:45 AM	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
9:50 AM	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
9:55 AM	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
10:00 AM	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
10:05 AM	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
10:10 AM	Clustering and Classification of Exocytic Events Presentation Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:15 AM	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Presentation Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA

CE_25C	Tue, 7/30/2019, 8:30 AM - 5:00 PM	CC-407
Design and Analysis of Experiments That Incorporate Simulator Platforms (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Physical and Engineering Sciences
Instructor(s): Thomas Santner, The Ohio State University; Brian J. Williams, Los Alamos National Laboratory
Deterministic simulators (``simulators'') based on micro-level mathematical descriptions of the physics or biology of a system are in the forefront of innovations for studying many engineering, biomechanics, and biological systems. This course will provide statistical tools to design and analyze experiments utilizing simulators so as to identify the important factors controlling a given system, to determine the manner in which the factors affect the system, and to optimize the system. The course describes methods for experiments using data from either a simulator-only study or combined data from a physical system and a simulator of the system. The course contains four sections. The first three sections provide tools to design and analyze simulator-only studies; the last uses the material of the first three sections to perform Bayesian calibration analysis using physical/simulator data. The first section provides methods for prediction based on given training data. The second section shows how to design computer experiments. The third section describes methods for conducting ``sensitivity analyses" to identify the influential inputs to a simulator. The final section provides tools to conduct a Bayesian calibration analysis. This course is based on the Second Edition of the book ``The Design and Analysis of Computer Experiments" by Santner, Williams, and Notz (Springer Verlag).
8:30 AM	Design and Analysis of Experiments That Incorporate Simulator Platforms (ADDED FEE) Brian J. Williams, Los Alamos National Laboratory; Thomas Santner, The Ohio State University

317 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-607
Uncertainty Quantification in Various Applications — Invited Papers
ASA Advisory Committee on Climate Change Policy, Section on Physical and Engineering Sciences, Section on Statistics and the Environment
Organizer(s): Bo Li, University of Illinois at Urbana-Champaign
Chair(s): Bo Li, University of Illinois at Urbana-Champaign
10:35 AM	Computer Experiments with Binary Time Series and Applications to Cell Biology: Modeling, Estimation and Calibration C F Jeff Wu, Georgia Inst of Technology; Ying Hung, Rutgers University
11:00 AM	Uncertainty Quantification in Assessing the Hazard from Pyroclastic Flows and Storm Surge Presentation James Berger, Duke University
11:25 AM	Uncertainty Estimates for Environmental Time Series Presentation Michael Stein, University of Chicago
11:50 AM	Discussant: Brian Reich, North Carolina State University
12:15 PM	Floor Discussion

348	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-707
Applications: Gaussian Process and Computer Experiments — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): Mary Frances Dorn, Los Alamos National Laboratory
10:35 AM	On Calibration of Parameter-Only Computer Models Peter Marcy, Los Alamos National Laboratory
10:50 AM	Computer Model Emulation for High-Dimensional Functional Output from OCO-2 Remote Sensing Anirban Mondal, Case Western Reserve University; Pulong Ma, Duke University; Jonathan Hobbs, Jet Propulsion Laboratory; Emily Lei Kang, University of Cincinnati; Alex Konomi, University of Cincinnati; Joon Jin Song, Baylor University
11:05 AM	Calibration and Analysis of Model Discrepancy in Nuclear Energy Density Functional Simulators Presentation Michael Grosskopf
11:20 AM	Making an 'Impact' on Shock Physics with Uncertainty Quantification Devin Francom, Los Alamos
11:35 AM	Spectral-In-Time Formulations for Environmental Spacetime Processes Charlotte Haley, Argonne National Lab
11:50 AM	Flexible Regression on Orientation Predictors – Predicting Stress Within Metals Presentation Scott Vander Wiel, Los Alamos National Laboratory; Peter Marcy, Los Alamos National Laboratory
12:05 PM	Gaussian Process with Input Location Error and Applications to the Composite Parts Assembly Process Presentation Wenjia Wang, SAMSI; Xiaowei Yue, Virginia Polytechnic Institute and State University; Ben Haaland, University of Utah; C F Jeff Wu, Georgia Inst of Technology

362	Tue, 7/30/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Graphics, International Chinese Statistical Association, Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistics in Imaging, ASA LGBT Concerns Committee
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Subfield Yield Analysis for Precision Agriculture Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
22:	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
23:	A Bayesian Approach for Estimating Earth’s "missing" Minerals Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
24:	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
25:	Air Pollutant Prediction Using Precipitation Patrick Chang, JLS Middle School
26:	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
27:	Exploratory Data Analysis of US Air Quality Xuemao Zhang, East Stroudsburg University
28:	Visualizing a Cyber Physical System in Drill Down Perspective Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
29:	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
30:	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Maoran Xu, University of Florida; Li Duan, University of Florida
31:	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
32:	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
33:	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
34:	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
35:	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
36:	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
37:	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
38:	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
39:	Clustering and Classification of Exocytic Events Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
40:	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
Oral Presentations for this session.

382 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-707
Climate Networks and Extremes — Invited Papers
Section on Risk Analysis, Section on Physical and Engineering Sciences, Section on Statistics and the Environment
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Snigdhansu Chatterjee, University of Minnesota
2:05 PM	Chi Network: an Exploratory Tool for Extremal Dependence Dan Cooley, Colorado State University; Whitney Huang, Statistical and Applied Mathematical Sciences Institute
2:35 PM	An Overview of Network Methods Focusing on Extremal Dependence Imme Ebert-Uphoff, Colorado State University
3:05 PM	Modeling Future Climate-Induced Insurance Risk as Multi-Layer Networks Yulia Gel, University of Texas at Dallas; Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Asim Dey, University of Texas at Dallas; Monisha Yuvaraj, University of Texas at Dallas
	Discussant: Robert Lund, Clemson University
3:35 PM	Floor Discussion

383 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-505
Experimental Design Applications in the Pharmaceutical Industry — Invited Papers
Section on Physical and Engineering Sciences, Biopharmaceutical Section, Quality and Productivity Section
Organizer(s): Stan Altan, Janssen R&D
Chair(s): Areti Manola, Janssen R&D
2:05 PM	Experimental Design in the Pharmaceutical Industry Presentation Brad Evans, Pfizer, Inc
2:25 PM	Central Composite Designs for Process Characterization, Why? Jose Ramirez, Amgen, Inc.
2:45 PM	Overview of DoEs and Applications in the Pharmaceutical Industry Presentation Jyh-Ming Shoung, Janssen R&D; Dwaine Banton, Janssen R&D; Areti Manola, Janssen R&D
3:05 PM	An Extended Youden Design for Biological Assays Presentation Yi Hua, University of Illinois at Chicago; Samad Hedayat, University of Illinois at Chicago; Min Yang, University of Illinois at Chicago; Stan Altan, Janssen R&D
3:25 PM	Discussant: Stan Altan, Janssen R&D
3:45 PM	Floor Discussion

386 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-201
Filtering Methods for Spatio-Temporal Big Data Applications — Invited Papers
Section on Statistics and the Environment, Section on Physical and Engineering Sciences, Section on Statistical Computing
Organizer(s): Matthias Katzfuss, Texas A & M University
Chair(s): Christopher K. Wikle, University of Missouri
2:05 PM	Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models Matthias Katzfuss, Texas A & M University; Christopher K. Wikle, University of Missouri; Jonathan R Stroud, Georgetown University
2:30 PM	Nonlinear, Non-Gaussian Extensions for Serial Ensemble Filter Data Assimilation Presentation Jeffrey Anderson, National Center for Atmospheric Research
2:55 PM	Improving Particle Filter Performance in Spatially-Extended Problems by Smoothing Observations Presentation Ian Grooms, University of Colorado Boulder; Gregor Robinson, University of Colorado Boulder; William Kleiber, University of Colorado
3:20 PM	Particle Filters in High Dimensions Presentation Peter Jan van Leeuwen, Colorado State University and University of Reading (UK); Manuel Pulido, University of Reading
3:45 PM	Floor Discussion

390 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-506
Advanced Fault Detection and Attribution in Large and Complex Data Streams — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science
Organizer(s): Amanda S Hering, Baylor University
Chair(s): Amanda S Hering, Baylor University
2:25 PM	Multiple Tensor-On-Tensor Regression: An Approach for Modeling Processes with Heterogeneous Sources of Data Kamran Paynabar, Georgia Institute of Technology; Mostafa Resisi, Georgia Tech; Hao Yan, Arizona State University; Jianjun Shi, Georgia Tech
2:45 PM	A Fault Detection Strategy Based on Wavelet Multiscale Representation of the Process Fouzi Harrou, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
3:05 PM	Fault Detection Using PCA at a Municipal Wastewater Treatment Facility Presentation Kathryn Blair Newhart, Colorado School of Mines; Tzahi Cath, Colorado School of Mines; Amanda S Hering, Baylor University
3:25 PM	Fault Attribution in a Complex, Nonstationary, and Temporally Dependent Wastewater Treatment System Presentation Molly Klanderman, Baylor University
3:45 PM	Floor Discussion

218955	Tue, 7/30/2019, 6:00 PM - 8:30 PM	H-Centennial Ballroom H
SPES/QandP/Risk Joint Mixer and Business Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences
Chair(s): Byran Smucker, Miami University

448 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-702
Statistics Impacting Challenges Within Academia, Industry, and Government — Invited Papers
Section on Physical and Engineering Sciences, Caucus for Women in Statistics
Organizer(s): Claire McKay Bowen, Los Alamos National Laboratory
Chair(s): Claire McKay Bowen, Los Alamos National Laboratory
8:35 AM	Statistical Approaches to Tackling Data Privacy Evercita Cuevas Eugenio, Sandia National Laboratory; Fang Liu, University of Notre Dame
9:00 AM	How Simple Statistics Are Implemented and Control Molecular Dynamic Simulations Suzanne Marie Neidhart, Northwestern University
9:25 AM	How to Change an Industry with Statistics Lois Keller Smith, Facebook
9:50 AM	Hierarchical Bayesian Change-Point Models for Chemical Properties Inference Amanda Koepke, National Institute of Standards and Technology; Felix Jimenez, University of Colorado, NIST; Kenneth Kroenlein, National Institute of Standards and Technology; Chris Muzny, National Institute of Standards and Technology
10:15 AM	Floor Discussion

450 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-203
Quantitative Inference for the Global Carbon Cycle — Invited Papers
Section on Statistics and the Environment, WNAR, Section on Physical and Engineering Sciences
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): William Kleiber, University of Colorado
8:35 AM	Spatial Retrievals of Carbon Dioxide from the OCO-2 Satellite Matthias Katzfuss, Texas A & M University; Jonathan Hobbs, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Anirban Mondal, Case Western Reserve University; Daniel Zilber
9:00 AM	Obtaining Carbon Dioxide Flux Estimates from Atmospheric Inversions of Carbon Dioxide Data: Current Methodologies, Successes and Challenges Presentation Andrew Eugene Schuh, Cooperative Institute for Research in the Atmosphere
9:25 AM	The Role of Satellite Data in Making Bayesian Inference on Carbon Dioxide Fluxes: Where, When, How Much, and How Certain? Noel Cressie, University of Wollongong; Andrew Zammit-Mangion, University of Wollongong
9:50 AM	Influence of Prior Covariance Structure on Inverse Estimates of Co2 Fluxes in Los Angeles Basin Vineet Yadav, Jet Propulsion Laboratory, California Institute of Technoloty
10:15 AM	Floor Discussion

457 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-503
Novel Statistical Approaches to Time Series of Networks — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Physical and Engineering Sciences, Section on Statistics in Imaging
Organizer(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
Chair(s): Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
8:35 AM	Network Granger Causality: Visualization and Extensions Ali Shojaie, University of Washington
8:55 AM	New Developments for Network Time Series Guy Nason, University of Bristol
9:15 AM	Quantile-Frequency Analysis and Functional Principal Components for Discriminant Analysis of Time Series Ta-Hsin Li, IBM T. J. Watson Research Center
9:35 AM	Modeling Evolution of Spectral Properties in Stationary Processes of Varying Dimensions Raanju Sundararajan, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
9:55 AM	Floor Discussion

485 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-102
Decision Making in Tech Giants Through A/B Testing, Prediction and Optimization — Invited Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science
Organizer(s): Tirthankar Dasgupta, Rutgers University
Chair(s): Anqi Zhao, National University of Singapore
10:35 AM	A Multi-Objective Optimization for Web Based Ranking Problems Souvik Ghosh, LinkedIn Corporation
11:00 AM	Improving External Validity of A/B Testing Using Jackknife Presentation Yu Wang, University of California, Berkeley; Somit Gupta, Microsoft Corporation; Jiannan Lu, Microsoft Corporation; Ali Mahmoudzadeh, Microsoft Corporation; Sophia Liu, Microsoft Corporation
11:25 AM	Limitations of Design-Based Causal Inference and A/B Testing Under Arbitrary and Network Interference Guillaume Basse, UC Berkeley; Edoardo Airoldi, Temple
11:50 AM	Discussant: Edoardo M Airoldi, Harvard University
12:15 PM	Floor Discussion

511	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-104
Statistical Applications in the Physical Sciences — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): David Corliss, Peace-Work
10:35 AM	Characterizing Lane Change Behavior from Trajectory Data Presentation Alan Karr, RTI International
10:50 AM	Circuit Fault Diagnosis Using Simulation and Bayesian Inference Qianqian Shan, Iowa State University; Stephen Holland, Iowa State University; William Q. Meeker, Iowa State University
11:05 AM	Robust Anomaly Detection in Large-Scale Multi-Type Sensor Systems Sierra Merkes, Virginia Tech Statistics Department
11:20 AM	Using correlated binomial distribution in estimating error rates for forensic firearm identification Nien-Fan Zhang, NIST
11:35 AM	Estimating Regional Phase Amplitudes with Left Censored Data in the Middle East Presentation Haya Aldossary, University of Missouri ; Scott H. Holan, University of Missouri/U.S. Census Bureau; Eric Sandovl, University of Missouri; Hongjun Hui, University of Missouri
11:50 AM	Simulation Study of Time Series Models Generated by Underlying Dynamics Presentation Evidence Matangi; Alexander Gluhovsky, Purdue University
12:05 PM	Floor Discussion

561 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-105
Small Data, Big Impact — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Statistics and the Environment, Section on Physical and Engineering Sciences
Organizer(s): Lyndsay Shand, Sandia National Laboratories
Chair(s): Alexander Foss, Sandia National Laboratories
2:05 PM	Combining Information to Assess the Reliability of Complex Systems Presentation Alyson Wilson, North Carolina State University
2:25 PM	Big Datum: Modeling the Universe and Other Smaller Things Earl Christopher Lawrence, Los Alamos National Laboratory
2:45 PM	Sea Ice Computer Model Calibration Using Space Filling Curves Presentation Derek Tucker, Sandia National Laboratories; Joel Upston, University of New Mexico; Deborah Sulsky, University of New Mexico
3:05 PM	Gradient Boosting Trees for Spatial Data Prediction Presentation Bo Li, University of Illinois at Urbana-Champaign; Peng Wang, University of Cincinnati; Yunzhang Zhu, The Ohio State University
3:25 PM	Spatial Statistics for the Computational Simulation of Complex Material Microstructures Presentation Lyndsay Shand, Sandia National Laboratories; Dan Bolintineanu, Sandia National Laboratories
3:45 PM	Floor Discussion

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 Presentation 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 Presentation 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 Presentation 1 Presentation 2 Presentation 3 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 Presentation Ben Haaland, University of Utah; Damon Toth, University of Utah; Molly Leecaster, University of Utah
10:15 AM	Floor Discussion

643 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-201
Detection of Changes and Structural Breaks in Business and Industrial Data Streams — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Emmanuel Yashchin, IBM Research
Chair(s): Julie Novak, Netflix
10:35 AM	Testing and Estimation of Change-Points in LSHD Data Streams: Asymptotics and Application to Ozone Monitoring Ansgar Steland, Insitute of Statistics
10:55 AM	Change Detection for Multi-Stage Multivariate Data Emmanuel Yashchin, IBM Research
11:15 AM	Pattern Detection via Biclustering in High-Frequency Financial Time Series Haitao Liu, Worcester Polytechnic Institute; Nalini Ravishanker, University of Connecticut; Jian Zou, Worcester Polytechnic Institute
11:35 AM	Multiple Breakpoint Detection: Mixing Documented and Undocumented Changepoints Presentation Robert Lund, Clemson University; Yingbo Li, Clemson University
11:55 AM	Detection of Changes in Spatial Data Michael Baron, American University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association