Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Activity Details

28	Sun, 7/29/2018, 2:00 PM - 3:50 PM	CC-West 208
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Speed
Mental Health Statistics Section, Section on Statistical Computing, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Lu Chen, Worcester Polytechnic Institute
Poster Presentations for this session.
2:05 PM	Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways Presentation Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
2:10 PM	Polynomial Based Approximate Probability Distributions Chris Elrod, Baylor University; James Stamey, Baylor University
2:15 PM	Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
2:30 PM	Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data Presentation Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
2:35 PM	Ranked Sparsity Methods for Transparent Model Selection Presentation Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:40 PM	Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI Presentation Cui Guo, University of Michigan
2:45 PM	Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
2:50 PM	Fast Generalised Linear Models in a Database Presentation Thomas Lumley, University of Auckland
3:00 PM	A Deep Learning Approach to the Estimation of Bias and Variance in HARDI Presentation Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:05 PM	Creating Counting Process Intervals with Ease Presentation Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
3:10 PM	Multi-Scale Vecchia Approximation of Gaussian Processes Presentation Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University

65 *	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 210
New-Generation Experimental Design and Causal Inference in High-Tech Companies — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Tirthankar Dasgupta, Rutgers University
Chair(s): Vijay Nair, University of Michigan
4:05 PM	Two Tales from A/B Testing: The M Error and Partial Identification in Factorial Designs Presentation Jiannan Lu, Microsoft; Yixuan Qiu, Purdue University; Alex Deng, Microsoft Corporation
4:25 PM	Causal Inference Applications in Google Search Ads Jeffrey Moulton, Google; Valeria Espinosa, Google
4:45 PM	Randomized Experiments on Amazon's Supply Chain Presentation David Afshartous, Amazon; Luke Smith, Amazon
5:05 PM	LinkedIn Feed Optimization Presentation 1 Presentation 2 Souvik Ghosh, LinkedIn
5:25 PM	Discussant: Tirthankar Dasgupta, Rutgers University
5:45 PM	Floor Discussion

82	Sun, 7/29/2018, 4:00 PM - 5:50 PM	CC-West 209
Computer Experiments, Statistical Engineering, and Applications in Physical Sciences — Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Chair(s): Ming Li, Amazon
4:05 PM	Within Laboratory Variance Outlier Detection: An Alternative to Cochran's Test Presentation 1 Presentation 2 Michael Morton, Altria Client Services
4:20 PM	Modeling of Sediment Mixing Using Dirichlet Process Mixtures John Tipton, University Of Arkansas; Glenn Sharman, University Of Arkansas; Sam Johnstone, United States Geological Survey
4:35 PM	Variance Components Estimators OPE, NOPE and AOPE in Linear Mixed Effects Models Presentation Subir Ghosh, Univ. of California, Riverside
4:50 PM	Statistical Applications of CLT for Dependent Data Martial Longla; Isidore Seraphin Ngongo, Université de Paris 1 Panthéon Sorbonne
5:05 PM	Floor Discussion

84	Sun, 7/29/2018, 4:00 PM - 4:45 PM	CC-West Hall B
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Poster Presentations
Mental Health Statistics Section, Section on Statistical Computing, Section on Statistics in Imaging, Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21:	Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways Abdul Salam, Hamad Medical Corporation; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
22:	Polynomial Based Approximate Probability Distributions Chris Elrod, Baylor University; James Stamey, Baylor University
23:	Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
27:	Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
28:	Ranked Sparsity Methods for Transparent Model Selection Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
29:	Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI Cui Guo, University of Michigan
30:	Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
31:	Fast Generalised Linear Models in a Database Thomas Lumley, University of Auckland
32:	A Deep Learning Approach to the Estimation of Bias and Variance in HARDI Allison Hainline, Vanderbilt University; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
33:	Creating Counting Process Intervals with Ease Cynthia Crowson, Mayo Clinic; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
34:	Multi-Scale Vecchia Approximation of Gaussian Processes Jingjie Zhang, Texas A&M University; Matthias Katzfuss, Texas A&M University
Oral Presentations for this session.

216532	Mon, 7/30/2018, 7:00 AM - 10:00 AM	F-Nootka
Section on Physical and Engineering Sciences Executive Committee Meeting — Other Cmte/Business
Section on Physical and Engineering Sciences
Chair(s): Peter Hovey, University of Dayton

90	Mon, 7/30/2018, 7:00 AM - 8:15 AM	CC-West Ballroom D
Section on Physical and Engineering Sciences A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Brad Evans, Pfizer, Inc
ML04:	Putting the Green in Green Engineering with Data for Good David Corliss, Peace-Work

126	Mon, 7/30/2018, 8:30 AM - 10:20 AM	CC-East 14
New Development in Reliability Models and Innovative Applications — Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Chair(s): Zhongnan Jin, Virginia Tech
8:35 AM	Statistical Inference on Remaining Useful Life in a Two-Phase Degradation Model Under Gamma Process Hon Keung Tony Ng, Southern Methodist University; Man Ho Ling, The Education University of Hong Kong; Kwok Leung Tsui, City University of Hong Kong
8:50 AM	Bayesian Estimation of Analyte Concentrations using Sensor Responses and Design Optimization of a Sensor System David Han, University of Texas At San Antonio
9:05 AM	Power Outage Prediction for Adverse Weather Events Seth Guikema, University of Michigan; Steven Quiring, Ohio State University; Ken Buckstaff, First Quartile Consulting; Mike Beck, Beck Consulting; Alan Bowman, Clarkson University; Brent McRoberts, Texas A&M University; Roshanak Nateghi, Purdue University
9:20 AM	Network Structural Equation Modeling for Photovoltaic Modules Lifetime Performance in Real-World and Accelerated Exposures Presentation Wei-Heng Huang, Case Western Reserve University; JiQi Liu, Case Western Reserve University; Alan J. Curran, Case Western Reserve University; Justin S. Fada, Case Western Reserve University; Jennifer L. Braid, Case Western Reserve University; Roger H. French, Case Western Reserve University
9:35 AM	Exponentiated Weibull-Geometric Regression Model Presentation Felix Famoye, Central Michigan University
9:50 AM	Parameter Estimation using EM algorithm for Constant-stress and Step-stress Accelerated Life Tests under Interval Monitoring Presentation Tianyu Bai; David Han, University of Texas At San Antonio
10:05 AM	Correlation Analysis of Interval Data Muzi Zhang; Dennis Lin, Pennsylvania State University

139 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 109
Competing Effectively: Hosting, Designing, and Participating in Kaggle-Style Competitions — Invited Papers
Section on Statistics in Defense and National Security, Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Kary Myers, Los Alamos National Laboratory
Chair(s): Mike Grosskopf, Simon Fraser University
10:35 AM	Effective Data Competition Hosting: Strategic Design and Analysis to Maximize Learning Presentation Christine M Anderson-Cook, Los Alamos National Laboratory; Kary Myers, Los Alamos National Laboratory
11:05 AM	Bayesian Design of Experiments with Multiple Priors for Kaggle Competition Design Presentation Kevin Randal Quinlan, The Pennsylvania State University; Christine M Anderson-Cook, Los Alamos National Laboratory
11:35 AM	General Techniques for Successful Data Science Competitions Presentation Ian Michael Mouzon, Iowa State University
12:05 PM	Floor Discussion

156 * !	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-East 14
Statistical Aspects in Stochastic and Deterministic Simulation — Topic Contributed Papers
Section on Physical and Engineering Sciences
Organizer(s): Wei Xie, Rensselaer Polytechnic Institute; Qiong Zhang, Virginia Commonwealth University
Chair(s): Youngdeok Hwang, Sungkyunkwan University
10:35 AM	A Construction of Cost-Efficient Designs with Guaranteed Repeated Measurements on Interaction Effects Frederick Kin Hing Phoa, Academia Sinica
10:55 AM	A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management Presentation Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
11:15 AM	A Latent Variable Approach for Handling Qualitative Factors in Gaussian Process Modeling of Computer Experiments Presentation Daniel W Apley, Northwestern University; Yichi Zhang, Northwestern University
11:35 AM	Optimization-Based Calibration of Simulation Input Models Henry Lam, Columbia University; Aleksandrina Goeva, Broad Institute; Huajie Qian, Columbia University; Bo Zhang, IBM Research AI
11:55 AM	Using Concomitant and Nested Simulation for Tail Risk Measure Estimation Mingbin Feng, University of Waterloo
12:15 PM	Floor Discussion

160 *	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 304/305
Quantifying Uncertainty — Topic Contributed Papers
Uncertainty Quantification for Complex Systems Interest Group, Section on Physical and Engineering Sciences, Section on Statistics in Defense and National Security
Organizer(s): Earl Christopher Lawrence, Los Alamos National Laboratory
Chair(s): Earl Christopher Lawrence, Los Alamos National Laboratory
10:35 AM	A Geometric Approach for Calibrating Computer Models with Misaligned Functional Output Presentation Lauren Hund; James Derek Tucker, Sandia National Laboratories; Justin Brown, Sandia National Laboratories
10:55 AM	Bayesian Framework for Embedded Model Error Representation and Quantification Presentation Khachik Sargsyan, Sandia National Labs/California; Xun Huan, Sandia National Labs/California; Habib Najm, Sandia National Labs/California
11:15 AM	Modeling Uncertainty in Physical Security Systems Presentation Aparna Huzurbazar, Los Alamos National Laboratory
11:35 AM	Uncertainty Quantification of Injury Risk Measures Dorin Drignei, Oakland University
11:55 AM	Floor Discussion

165	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West 208
SPEED: Environmetrics: Spatio-Temporal and Other Models — Contributed Speed
Section on Statistics and the Environment, Section on Physical and Engineering Sciences
Chair(s): Rodrigue Ngueyep, IBM Research
Poster Presentations for this session.
10:35 AM	Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
10:40 AM	A Bayesian Approach to Trend Filtering for Spatially Confounded Data Presentation Adam Walder
10:45 AM	Evaluating Proxy Influence and Reconstruction Skill in Data Assimilation Based Climate Field Reconstructions Using Extremal Depth Trevor Harris, University of Illinois at Urbana-Champaign, Statistics; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University, Lamont-Doherty Earth Observatory; Jason Smerdon, Columbia University, Lamont-Doherty Earth Observatory; Justin Jacobs, Sandia National Laboratories
10:50 AM	Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy Presentation Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
10:55 AM	Preferential Sampling in Geostatistics Daniel Dinsdale, The University of British Columbia; Matias British Salibian-Barrera, The University of British Columbia
11:00 AM	Spline Smoothing in Dendrochronology Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
11:05 AM	Discriminant Analysis for High-Dimensional Spatio-Temporal Data Presentation Rejaul Karim, Michigan State University; Taps Maiti, Michigan State University; Chae Young Lim, Seoul National University
11:10 AM	Combining Satellite Imagery and Numerical Model Simulation to Estimate Ambient Air Pollution: An Ensemble Averaging Approach Presentation 1 Presentation 2 Nancy Murray, Emory University; Howard Chang, Emory University; Heather Holmes, University of Nevada, Reno; Yang Liu, Emory University
11:15 AM	Identifying Epigenetic Regions Exhibiting Critical Windows of Susceptibility to Air Pollution Presentation Michele Zemplenyi, Harvard University; Mark J Meyer, Georgetown University; Brent A. Coull, Harvard TH Chan School of Public Health
11:35 AM	Nonstationarity in Spatiotemporal Fisheries Models Presentation John Best, School of Aquatic and Fishery Sciences, University of Washington
11:40 AM	Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:45 AM	Bayesian Estimation of Toluene and Trichloroethylene Biodegradation Kinetic Parameters Presentation Feng Yu, RTI International; Breda Munoz, RTI International
11:50 AM	An Application of Monothetic Clustering to Data with Circular Variables Presentation Tan V Tran, Montana State University; John C Priscu, Montana State University; Mark Greenwood, Montana State University; Marie Sabacká, University of South Bohemia
11:55 AM	Evaluating the Impact of Using Residential Histories When Estimating Environmental Exposure Effects Anny-Claude Joseph, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University

172	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-East 16
Risk Prediction and Analysis — Contributed Papers
Section on Risk Analysis, Section on Physical and Engineering Sciences
Chair(s): Abu Minhajuddin
10:35 AM	Beyond Probabilistic Risk Assessment: Deterrence, Dynamic Threat, and Countermeasure Allocation in Transportation Hubs Presentation Craig Bakker, Pacific Northwest National Laboratory; Robert T Brigantic, Pacific Northwest National Laboratory; Kellie J MacPhee, Pacific Northwest National Laboratory; Nicholas J Betzsold, Pacific Northwest National Laboratory; Daniel P McCabe, Pacific Northwest National Laboratory; Casey J Perkins, Pacific Northwest National Laboratory
11:05 AM	Forecasting of Grape Powdery Mildew Disease Risk in Vineyards Using a Bayesian Learning Network Model Presentation 1 Presentation 2 Nathaniel Newlands, Agriculture and Agri-Food Canada (Science and Technology Branch); Weixun Lu, Agriculture and Agri-Food Canada (Science and Technology Branch); Odile Carisse, Agriculture and Agri-Food Canada (Science and Technology Branch); David E. Atkinson, University of Victoria
11:20 AM	Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Presentation Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:35 AM	Infer the in Vivo Point of Departure with ToxCast in Vitro Assay Data Using a Robust Learning Approach Presentation Dong Wang, FDA National Center for Toxicological Research (NCTR)
11:50 AM	Combining Breast Cancer Risk Prediction Models Presentation Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
12:05 PM	A Regression Model of Cumulative Incidence for Competing Risks Data with Time-Dependent Exposures Presentation Xingyuan Li, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh

189	Mon, 7/30/2018, 10:30 AM - 12:20 PM	CC-West Hall B
Contributed Poster Presentations: Section on Physical and Engineering Sciences — Contributed Poster Presentations
Section on Physical and Engineering Sciences
Chair(s): Paul McNicholas, McMaster University
36:	Management of Oil/Gas Pipelines Using Statistical Process Control William Harper, Otterbein University; David J Stucki, Otterbein University; Tony Alfano, DNV GL; Thomas Yahner, DNV GL; Jeffrey Kobs, Rose Rock Midstream; Jim Ponder, Loop LLC (Louisiana Offshore Oil Port)
37:	The Panic Contagion Probability During an Evacuation Process Guillermo Frank, Universidad Tecnológica Nacional; Fernando Cornes, Departamento de Física - FCEN - UBA; Claudio Dorso, Instituto de Física de Buenos Aires
39:	Reliability Analysis of Lab Instruments Based on Statistical Quality Control Data Min Chen, ExxonMobil Biomedical Sciences, Inc.; Eric Shu Shi, ExxonMobil Biomedical Sciences, Inc.; Chonghaw Kwang, ExxonMobil Asia Pacific Pte. Ltd
40:	Uncertainty Quantification for Fission Product Yield Curves Jason Bernstein, Lawrence Livermore National Laboratory; Nicolas Schunck, Lawrence Livermore National Laboratory
41:	Forecasting Artificial Earth Satellite Populations James P. Howard, II, Johns Hopkins University Applied Physics Laboratory
42:	HMC on Symmetric Spaces Alessandro Barp, Imperial College London; Anthony Kennedy, The University of Edinburgh; Mark Girolami, Imperial College London
43:	Multi-Scale Uncertainty Quantification in the Physical Sciences and Engineering for Complex Models K. Sham Bhat, Los Alamos National Laboratory

213 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-East 10
Lead with Statistics in Uncertainty Quantification — Invited Papers
Section on Physical and Engineering Sciences
Organizer(s): Lulu Kang, Illinois Institute of Technology
Chair(s): Lulu Kang, Illinois Institute of Technology
2:05 PM	Universal Convergence of Kriging C. F. Jeff Wu, Georgia Institute of Technology; Rui Tuo, Chinese Academy of Sciences; Wenjia Wang, Georgia Institute of Technology
2:30 PM	Screening for Important Factors in Computer Experiments Presentation David Steinberg, Tel Aviv University; Natalie Abel, Tel Aviv University
2:55 PM	Design of Experiments for the Calibration of Computational Models David Woods, University of Southampton; Yiolanda Englezou, University of Southampton; Timothy Waite, University of Manchester
3:20 PM	Discussant: Derek Bingham, Simon Fraser University
3:45 PM	Floor Discussion

229 * !	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-East 9
Statistical Process Monitoring of High-Volume Data Streams — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Emmanuel Yashchin, IBM Research
Chair(s): Ron S Kenett, KPA Group
2:05 PM	Adaptive Tests for Object Detection Presentation Grigory Sokolov; Alexander G. Tartakovsky, Moscow Institute of Physics and Technology
2:25 PM	Model-Free Classification of Multi-Channel EEG via the Epsilon-Complexity Theory Presentation Alexandra Piryatinska, San Francisco State University; Boris Darkhovsky, Institute for Systems Analysis FRC CRC RAS,
2:45 PM	Multi-Stage Processes Monitoring and Diagnostics Using Timeslides Emmanuel Yashchin, IBM Research
3:05 PM	Controlled Automatic Detection of Detects in Dependent Image Data Presentation Ansgar Steland, Institut Fuer Statistik Und Wirtschaftsmathematik RWTH Aachen
3:25 PM	Some Sampling and Aggregation Strategies for Statistical Process Monitoring Presentation William H Woodall, Virginia Tech; Inez Zwetsloot, City University of Hong Kong
3:45 PM	Floor Discussion

232 *	Mon, 7/30/2018, 2:00 PM - 3:50 PM	CC-West 117
Methods and Tools for DoD Test and Evaluation — Topic Contributed Papers
Section on Statistics in Defense and National Security, Section on Physical and Engineering Sciences
Organizer(s): Kelly M Avery, Institute for Defense Analyses
Chair(s): Jane Pinelis, IDA
2:05 PM	Power Approximations for Reliability Test Designs Presentation Rebecca Dickinson
2:25 PM	Planning a Missile Test Using Bayesian Sequential Design of Experiments Presentation Keyla Pagan-Rivera
2:45 PM	Comparing MandS Output to Live Test Data: a Missile System Case Study Presentation Kelly M Avery, Institute for Defense Analyses
3:05 PM	Latent Variable Modeling for Validating Custom Scales Stephanie Lane, Institute For Defense Analyses
3:25 PM	CiTools: Quantifying Uncertainty for Statistical Models in R Matthew Avery
3:45 PM	Floor Discussion

259	Mon, 7/30/2018, 3:05 PM - 3:50 PM	CC-West Hall B
SPEED: Environmetrics: Spatio-Temporal and Other Models — Contributed Poster Presentations
Section on Statistics and the Environment, Section on Physical and Engineering Sciences
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
1:	Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
2:	A Bayesian Approach to Trend Filtering for Spatially Confounded Data Adam Walder
3:	Evaluating Proxy Influence and Reconstruction Skill in Data Assimilation Based Climate Field Reconstructions Using Extremal Depth Trevor Harris, University of Illinois at Urbana-Champaign, Statistics; Bo Li, University of Illinois at Urbana-Champaign; Nathan Steiger, Columbia University, Lamont-Doherty Earth Observatory; Jason Smerdon, Columbia University, Lamont-Doherty Earth Observatory; Justin Jacobs, Sandia National Laboratories
4:	Addressing Time of Measurement Bias in Records of Daily Temperature Extrema: A Spatio-Temporal Imputation Strategy Maxime Rischard, Harvard Statistics; Natesh Pillai, Harvard Statistics; Karen A. McKinnon, National Center for Atmospheric Research; Descartes Labs
5:	Preferential Sampling in Geostatistics Daniel Dinsdale, The University of British Columbia; Matias British Salibian-Barrera, The University of British Columbia
6:	Spline Smoothing in Dendrochronology Nicholas Bussberg, Indiana University; Justin Maxwell, Indiana University; Scott Robeson, Indiana University; Chunfeng Huang, Indiana University
7:	Discriminant Analysis for High-Dimensional Spatio-Temporal Data Rejaul Karim, Michigan State University; Taps Maiti, Michigan State University; Chae Young Lim, Seoul National University
8:	Combining Satellite Imagery and Numerical Model Simulation to Estimate Ambient Air Pollution: An Ensemble Averaging Approach Nancy Murray, Emory University; Howard Chang, Emory University; Heather Holmes, University of Nevada, Reno; Yang Liu, Emory University
9:	Identifying Epigenetic Regions Exhibiting Critical Windows of Susceptibility to Air Pollution Michele Zemplenyi, Harvard University; Mark J Meyer, Georgetown University; Brent A. Coull, Harvard TH Chan School of Public Health
12:	Nonstationarity in Spatiotemporal Fisheries Models John Best, School of Aquatic and Fishery Sciences, University of Washington
13:	Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
14:	Bayesian Estimation of Toluene and Trichloroethylene Biodegradation Kinetic Parameters Feng Yu, RTI International; Breda Munoz, RTI International
15:	An Application of Monothetic Clustering to Data with Circular Variables Tan V Tran, Montana State University; John C Priscu, Montana State University; Mark Greenwood, Montana State University; Marie Sabacká, University of South Bohemia
16:	Evaluating the Impact of Using Residential Histories When Estimating Environmental Exposure Effects Anny-Claude Joseph, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
Oral Presentations for this session.

266	Tue, 7/31/2018, 7:00 AM - 8:15 AM	CC-West Ballroom D
Section on Physical and Engineering Sciences A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Brad Evans, Pfizer, Inc
TL05:	Real Experiences with Experimental Design: Composite Pressure Vessel Life Predict Anne Driscoll

289	Tue, 7/31/2018, 8:30 AM - 10:20 AM	CC-East 10
Advancement in Statistical Methods for Reliability Data — Topic Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Lu Lu, University of South Florida
Chair(s): Lu Lu, University of South Florida
8:35 AM	Applications of the Fractionally-Random-Weight Bootstrap Presentation William Meeker, Iowa State University; Chris Gotwalt, JMP; Yili Hong, Virginia Tech
8:55 AM	Comparing the Reliability of Related Populations with the Probability of Agreement Nathaniel Stevens, University of San Francisco
9:15 AM	A Bayesian Nonparametic Approach to Multistate Models Presentation Richard Warr, Brigham Young University
9:35 AM	Planning of Accelerated Degradation Tests Presentation I-Chen Lee, National Cheng Kung University
9:55 AM	Discussant: Yili Hong, Virginia Tech
10:15 AM	Floor Discussion

347	Tue, 7/31/2018, 10:30 AM - 12:20 PM	CC-East 16
Machine Learning and Applications in Complex Engineering Systems — Contributed Papers
Section on Physical and Engineering Sciences, SSC
Chair(s): Blanton Godfrey, North Carolina State University
10:35 AM	Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics Presentation Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:50 AM	The Identification and Quantification of Pits, Cracks, and Corrosion from Container Material Image Surface Depth Measurements with Subsequent Container Classification Presentation James Wendelberger, Los Alamos National Laboratory
11:05 AM	Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability Presentation Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:20 AM	Spectral Methods for Kernel Learning Charlotte Haley, Argonne National Lab; Christopher J Geoga, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory
11:35 AM	Covering Arrays: An Efficient Tool for Validating Complex Engineered Systems Presentation Ryan Lekivetz, SAS Institute, Inc.; Joseph Morgan, SAS Institute, Inc.
11:50 AM	Hidden in the Signal Eunice Kim, Microsoft; Ildoo Kim, Brown University
12:05 PM	Floor Discussion

393 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 301
A Life Cycle View of Statistics — Invited Panel
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Section on Statistical Consulting, SSC
Organizer(s): David Steinberg, Tel Aviv University
Chair(s): David Steinberg, Tel Aviv University
2:05 PM	A Life Cycle View of Statistics Presentation 1 Presentation 2 Presentation 3
Panelists:	Laura Freeman, Institute for Defense Analysis Ron S Kenett, KPA Group John Peterson, Glaxo-Smith-Kline Agus Sudjianto, Wells Fargo
3:40 PM	Floor Discussion

396 * !	Tue, 7/31/2018, 2:00 PM - 3:50 PM	CC-West 117
Field to Fork: Leading with Statistics in the Food Industry — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science
Organizer(s): Shankang Qu, PepsiCo
Chair(s): Richard De Veaux, Williams College
2:05 PM	Multivariate Analysis of Sensory and Consumer Data Presentation Jianfeng Ding, SAS Institute
2:25 PM	Accelerating Product Development with Virtual Experimentation Fred Hulting, General Mills, Inc.
2:45 PM	Development of a Processed Cheese Food Safety Model Using a Response Surface Design and Parametric Survival Modeling Presentation Francis Rossi, PepsiCo
3:05 PM	A Bayesian Hierarchical Model for Integrated Analysis of Consumer Appeal in Affective Testing Presentation Jing Cao; Janette Pool, PepsiCo
3:25 PM	Floor Discussion

216572	Tue, 7/31/2018, 6:30 PM - 8:30 PM	F-Waterfront Ballroom A
Joint SPES, Q&P, Risk, and SDNS Business Meetings and Mixer — Other Cmte/Business
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Risk Analysis, Section on Statistics in Defense and National Security
Chair(s): Peter Hovey, University of Dayton

442	Wed, 8/1/2018, 7:00 AM - 8:15 AM	CC-West Ballroom D
Section on Physical and Engineering Sciences A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Brad Evans, Pfizer, Inc
WL04:	Collaboration Techniques for Successfully Identifying and Modeling Sources of Variation Jonathan Stallings, North Carolina State University

453 !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 215/216
Novel Theory and Methods in Big Data Analytics — Invited Papers
Section on Statistical Learning and Data Science, Section on Physical and Engineering Sciences, Section on Statistical Computing, SSC
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
8:35 AM	Statistical Inference for Big Data via Optimal Subsampling Presentation HaiYing Wang, University of Connecticut
9:00 AM	Statistical Leverage and Its Usage in Variable Screening Wenxuan Zhong, University of Georgia; Yiwen Liu, University of Georgia; Peng Zeng, Auburn University
9:25 AM	Complex Interaction Modeling with Liquid Association Presentation Ker-Chau Li, Institute of Statistical Science, Academia Sinica
9:50 AM	Iterative Random Forests (IRF) to Discover Predictive and Stable High-Order Interactions Bin Yu, UC Berkeley; Sumanta Basu, Cornell University; Karl Kumbier, UC Berkeley; Ben Brown, LBNL and University of Birmingham
10:15 AM	Floor Discussion

457 *	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 224
Statistical Methods for Remote Sensing Data — Invited Papers
Section on Physical and Engineering Sciences, Section on Statistics and the Environment, ENAR, Quality and Productivity Section
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): Maggie Johnson, SAMSI
8:35 AM	Simulation-Based Uncertainty Quantification for Optimal Estimation Remote Sensing Retrievals Presentation Amy Braverman, Jet Propulsion Laboratory; Jonathan Hobbs, Jet Propulsion Laboratory
9:05 AM	A General Framework for Vecchia Approximations of Gaussian Processes Matthias Katzfuss, Texas A&M University; Joseph Guinness, North Carolina State University
9:35 AM	Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables Presentation Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
10:05 AM	Floor Discussion

481 * !	Wed, 8/1/2018, 8:30 AM - 10:20 AM	CC-West 223
Modeling, Analysis, and Assessment — Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Chair(s): Xiaoxia Han, Henry Ford Health System
8:35 AM	Prediction of Warranty Returns Based on Modeling Seasonal Recurrent Event Data Presentation Qianqian Shan; William Meeker, Iowa State University
8:50 AM	A Simulation Study of Process Capability Analysis on Processes with Multiple Normal Distributions Presentation Laura Lancaster, SAS Institute Inc.
9:05 AM	Factor Selection and Level Grouping with Applications to Golden Path Determination Presentation Nan-Jung Hsu, National Tsing Hua University
9:20 AM	Looking Inward: Quality Audits for Demographic Programs at the U.S. Census Bureau Cynthia A Rothhaas, U.S. Census Bureau; Richard Levy, U.S. Census Bureau
9:35 AM	A Reflection of the Statistical Assessment for Analytical Similarity and Beyond ----Are We Addressing the Right Question? Presentation Aili Cheng, Pfizer
9:50 AM	Bayesian Framework for Tier 1 Analytical Biosimilarity Assessment Presentation Yanbing Zheng, AbbVie; Hesham Fahmy, AbbVie
10:05 AM	Statistical Analysis of the Sliding Window Fourier Transform Presentation Lee Richardson, Carnegie Mellon University

503	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-East 10
Applying Item Response Theory Models to Estimate Motor Carrier Safety — Invited Panel
Transportation Statistics Interest Group, Section on Physical and Engineering Sciences, Section on Risk Analysis
Organizer(s): Mike L. Cohen, Committee on National Statistics
Chair(s): Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM	Applying Item Response Theory Models to Highway Safety Presentation 1 Presentation 2
Panelists:	Donald Hedeker, University of Chicago Joel Greenhouse, CMU Linda Ng Boyle, University of Washington
12:10 PM	Floor Discussion

509 * !	Wed, 8/1/2018, 10:30 AM - 12:20 PM	CC-West 203
New Approaches to Modeling and Inference for Complex Space-Time Data — Topic Contributed Papers
Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science, Section on Statistics and the Environment, Quality and Productivity Section
Organizer(s): Ta-Hsin Li, IBM T. J. Watson Research Center
Chair(s): Hakmook Kang, Vanderbilt
10:35 AM	Testing One Hypothesis Multiple Times: The Multidimensional Case Sara Algeri, Imperial College London; David A van Dyk, Imperial College London
10:55 AM	A Scalable Multi-Resolution Spatio-Temporal Model for Brain Activation and Connectivity in fMRI Data Presentation Stefano Castruccio, University of Notre Dame; Hernando Ombao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology
11:15 AM	Flexible Dynamic Modeling of Correlation and Covariance Matrices for Spatio-Temporal Data Analysis Presentation Babak Shahbaba, UCI; Andrew James Holbrook, UC Irvine; Gabriel Elias, UC Irvine; Norbert J. Fortin, UC Irvine; Hernando Ombao, UC Irvine; Shiweil Lan, CalTech
11:35 AM	Automatic Anomaly Detection in Modeling Real-Time Sensor Data Bei Chen, IBM Research; Beat Buesser, IBM Research
11:55 AM	Identification of Management Zone Using a Spatial Clustering Time-Varying Lattice Models Presentation Youngdeok Hwang, Sungkyunkwan University; Huijing Jiang, IBM Research; Rodrigue Ngueyep, IBM Research
12:15 PM	Floor Discussion

547	Wed, 8/1/2018, 12:30 PM - 1:50 PM	CC-West Ballroom D
Section on Physical and Engineering Sciences P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Physical and Engineering Sciences
Organizer(s): Brad Evans, Pfizer, Inc
WL18:	Successful Implementation of Bayesian Adaptive Designs in Medical Device Clinical Studies Zengri Wang

561 * !	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-West 217
Hierarchical Bayes in a Hierarchical Universe — Invited Papers
Section on Bayesian Statistical Science, Astrostatistics Special Interest Group, Section on Physical and Engineering Sciences
Organizer(s): Yen-Chi Chen, University of Washington; Gwendolyn Marie Eadie, University of Washington
Chair(s): Yen-Chi Chen, University of Washington
2:05 PM	The Scientific Context of Astrostatistics: An Overview of the Hierarchical Universe Presentation Gwendolyn Marie Eadie, University of Washington
2:25 PM	Astrophysical Deconvolution When the Convolution Function Is Imprecise David A van Dyk, Imperial College London
2:45 PM	Insights into Exoplanet Compositions from Hierarchical Bayesian Modeling Presentation Angie Wolfgang, Pennsylvania State University; Eric D. Lopez, NASA Goddard; Anirban Mondal, Case Western Reserve University
3:05 PM	Hierarchical Bayesian Models for Supernovae and Cosmology Kaisey Stephen Mandel, University of Cambridge
3:25 PM	Hierarchical Bayes in High Energy Astrophysics Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
3:45 PM	Floor Discussion

586	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-East 14
Recent Developments in Designs of Experiments and Responses Surface Models — Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section
Chair(s): Christopher Gotwalt
2:05 PM	Utilizing the Block Diagonal Covariance Structure of Nonregular Two-Level Designs Robert Mee, University of Tennessee; David J Edwards, Virginia Commonwealth University
2:20 PM	Individual Clear Effects for Fractional Factorial Designs Presentation William Li, Shanghai Advanced Institute of Finance
2:35 PM	Predictive Response Surface Models: To Reduce or Not to Reduce? Presentation Byran Smucker, Miami University; Maria Weese, Miami University; David J Edwards, Virginia Commonwealth University
2:50 PM	Dimensional Analysis for Response Surface Methodology Ching-Chi Yang, Penn State; Dennis Lin, Pennsylvania State University
3:05 PM	Augmenting Definitive Screening Designs for Estimating Second-Order Models Abigael Nachtsheim, Arizona State Univ
3:20 PM	Optimal Designs for Gamut Models William Heavlin, Google, Inc.
3:35 PM	Hydraulic Fluids: a Case Study of a Split-Plot Experiment Presentation Jennifer Kensler, Shell

592	Wed, 8/1/2018, 2:00 PM - 3:50 PM	CC-East 9
New Developments in Experiment Design and Statistical Modeling — Contributed Papers
International Chinese Statistical Association, Section on Physical and Engineering Sciences
Chair(s): Kin Yau Wong, Hong Kong Polytechnic University
2:05 PM	T-Optimal Design for Multivariate Polynomial Regression Using Semidefinite Programming Yuguang Yue, The University of Texas At Austin; Weng Kee Wong, UCLA; Lieven Vandenberghe, University of California, Los Angeles
2:20 PM	Direct Estimation of Differential Networks Under High-Dimensional Nonparanormal Graphical Models Presentation Qingyang Zhang, University of Arkansas
2:35 PM	On Mean Corrected Generalized Estimating Equations Presentation Ye Shen, University of Georiga; Chao Li, University of Georgia
2:50 PM	Solar Panel Lamination with Extreme Value Regression Model Presentation Chih-Chun Tsai, Tamkang University
3:05 PM	Optimal Doubling Burn-In Policy Based on Tweedie Processes with Applications to Degradation Data Presentation Chien-Yu Peng, Institute of Statistical Science, Academia Sinica
3:20 PM	An Additive-Multiplicative Mean Model for Panel Count Data with Dependent Observation and Dropout Processes Presentation Yang Li, UNC-Charlotte; Guanglei Yu, Eli Lilly and Company; Liang Zhu, University of Texas Health Science Center at Houston; Hui Zhao, Central China Normal University; (Tony) Jianguo Sun, University of Missouri; Leslie Robison, St. Jude Children's Research Hospital
3:35 PM	Methods for Multivariate Recurrent Event Data with Measurement Error and Informative Censoring Presentation Yu-Jen Cheng, National Tsing Hua University; Ching-Yun Wang, Fred Hutchinson Cancer Research Center; Hsiang Yu, National Tsing Hua University

621 * !	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-West 224
Quantum Computing: Algorithms and Applications — Topic Contributed Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Quantum Computing in Statistics and Machine Learning
Organizer(s): Sergei Leonov, ICON Clinical Research
Chair(s): John Kelly, QxBranch
8:35 AM	Leveraging Adiabatic Quantum Computation for Election Forecasting Maxwell Henderson, QxBranch
8:55 AM	Angular Momentum Recoupling and Quantum Computing Presentation Ali Eskandarian
9:15 AM	On Implementation of Iterative Algorithms of Model-Based Optimal Experimental Design on a Quantum Computer Sergei Leonov, ICON Clinical Research
9:35 AM	Discussant: Peter Wittek, Barcelona Institute of Science and Technology & University of Toronto
9:55 AM	Discussant: Valerii Fedorov, ICON Clinical Research
10:15 AM	Floor Discussion

630 *	Thu, 8/2/2018, 8:30 AM - 10:20 AM	CC-East 9
Uncertainty Quantification, Reliability and Robust Inference — Contributed Papers
Section on Statistics in Defense and National Security, Quality and Productivity Section, Section on Physical and Engineering Sciences
Chair(s): Brian Groves, Raytheon
8:35 AM	Measure Specific Mixture Model (MSM2) for Change Detection Presentation Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology
8:50 AM	Multivariate Methods and Data Integration in Social Media for Anomaly Detection Presentation Karl Pazdernik, Pacific Northwest National Laboratory; Kellie MacPhee, University of Washington; Bryan Stanfill, Pacific Northwest National Laboratory; Lisa Bramer, Pacific Northwest National Laboratory
9:05 AM	Emulating Satellite Drag from Large Simulation Experiments Furong Sun, Virginia Tech; Robert Gramacy, Virginia Tech; Benjamin Haaland, Population Health Sciences, University of Utah; Earl Christopher Lawrence, Los Alamos National Laboratory; Andrew Walker, Space Science and Applications, Los Alamos National Laboratory
9:20 AM	A Mathematical Framework for Uncertainty Quantification in Multimodal Image Analysis via Probabilistic Clustering Models Presentation Maximillian Chen, Sandia National Laboratories; David John Stracuzzi, Sandia National Laboratories; Michael Christopher Darling, Sandia National Laboratories
9:35 AM	Visualizing Clustering and Uncertainty Analysis of Multivariate Time-Series Data Presentation Kristin Divis, Sandia National Laboratories; Maximillian Chen, Sandia National Laboratories; Laura A McNamara, Sandia National Laboratories; Dan Morrow, Sandia National Laboratories
9:50 AM	Signal Aliasing in Gaussian Random Fields for Experiments with Qualitative Factors Ming-Chung Chang; Shao-Wei Cheng, National Tsing Hua University; Ching-Shui Cheng, Academia Sinica
10:05 AM	Floor Discussion

644 * !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-West 211
Statistical Computing on Parallel Architectures — Invited Papers
Section on Statistical Computing, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts, SSC
Organizer(s): George Ostrouchov, Oak Ridge National Laboratory
Chair(s): Norman Matloff, University of California at Davis
10:35 AM	Success with OpenMP in R Package Data.table Matt Dowle, H2O.ai
10:55 AM	Deferred Evaluation for Scalable Computing in R Presentation Michael Lawrence, Genentech
11:15 AM	The pbdR Project: Distributed Computing with R Wei-Chen Chen, FDA/CDRH; Drew Schmidt, ORNL; George Ostrouchov, Oak Ridge National Laboratory
11:35 AM	Automatic Parallelization of R Code Presentation Clark Fitzgerald, University of California, Davis
11:55 AM	Discussant: George Ostrouchov, Oak Ridge National Laboratory
12:15 PM	Floor Discussion

646 !	Thu, 8/2/2018, 10:30 AM - 12:20 PM	CC-East 10
Experimental Design Thinking for Big Data — Invited Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, International Chinese Statistical Association, SSC
Organizer(s): Xinwei Deng, Virginia Tech; C. Devon Lin, Queen's University
Chair(s): C. Devon Lin, Queen's University
10:35 AM	Information-Based Subdata Selection for LASSO Regression Presentation Min Yang, University of Illinois at Chicago; Xin Wang, University of Illinois at Chicago
11:00 AM	Information-Based Subdata Selection John Stufken, Arizona State University
11:25 AM	Embracing Experimental Design Thinking for Large-Scale Statistical Analysis Presentation Peter Chien, University of Wisconsin-Madison
11:50 AM	Discussant: Tirthankar Dasgupta, Rutgers University
12:15 PM	Floor Discussion

JSM 2018 Online Program

Activity Details

American Statistical Association