JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Activity Details

2 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-315
Phase Variation (Curve Registration) in Functional Data Analyzing — Invited Papers
Section on Nonparametric Statistics , Section on Statistical Learning and Data Science , Section on Statistical Computing
Organizer(s): J. S. (Steve) Marron, University of North Carolina
Chair(s): Jan Gertheiss, Clausthal University of Technology
2:05 PM	Clustering Misaligned Dependent Curves — Piercesare Secchi, Politecnico di Milano ; Konrad Abramowicz, Umea University ; Per Arnqvist, Umea University ; Sara Sj¨ostedt de Luna, Umea University ; Simone Vantini, Politecnico di Milano ; Valeria Vitelli, University of Oslo
2:30 PM	Spatial Modeling of Object Data: Analysing Dialect Sound Variations Across the UK — Shahin Tavakoli, University of Cambridge ; Davide Pigoli, University of Cambridge ; John AD Aston, University of Cambridge
2:55 PM	Data driven estimates of PDE parameters: an application to image registration — Michelle Carey, University College Dublin ; James O. Ramsay, McGill University
3:20 PM	Registration of Functional Data Using the Fisher-Rao Metric — Sebastian Kurtek, The Ohio State University ; Anuj Srivastava, Florida State University ; Wei Wu, Florida State University ; Eric Klassen, Florida State University ; J. S. (Steve) Marron, University of North Carolina
3:45 PM	Discussant: J. S. (Steve) Marron, University of North Carolina
3:45 PM	Floor Discussion

6 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-316
New Methods and Software for Adaptive Designs — Invited Papers
Biopharmaceutical Section , Biometrics Section , Section on Statistical Computing
Organizer(s): Jon Steingrimsson, Johns Hopkins University
Chair(s): Jon Steingrimsson, Johns Hopkins University
2:05 PM	Subgroup Inference for Multiple Treatments and Multiple Endpoints — Brad Carlin, University of Minnesota ; Patrick Schnell, University of Minnesota ; Peter Mueller, UT Austin ; Qi Tang, AbbVie, Inc.
2:25 PM	An Optimized Adaptive Enrichment Design for Multi-Arm Trials — Michael Rosenblum, Johns Hopkins University ; Aaron Fisher, Johns Hopkins University ; Jon Steingrimsson, Johns Hopkins University ; Joshua A Betz, Johns Hopkins University
2:45 PM	Bayesian Interval Based Dose Finding Designs and a Web-Based Statistical Tool — Yuan Ji, NorthShore University HealthSystem/University of Chicago ; Sue-Jane Wang, FDA ; Shengjie Yang, NorthShore University HealthSystem
3:05 PM	Open Source R, Shiny Interface and R Markdown: Applications for Group Sequential Design — Keaven Anderson, Merck Research Laboratories
3:25 PM	Discussant: Scott Emerson, University of Washington
3:45 PM	Floor Discussion

9 *	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-336
When Location Is Random: Advances in Statistical Modeling and Inference for Spatial Point Processes — Invited Papers
Section on Statistics and the Environment , Section on Statistical Computing , Association of American Geographers , Statistics Without Borders
Organizer(s): Veronica J Berrocal, University of Michigan
Chair(s): Veronica J Berrocal, University of Michigan
2:05 PM	Nonparametric Inference for Point Processes — Tailen Hsing, University of Michigan ; Jinqi Shen, University of Michigan
2:30 PM	Spatial Point Processes on the Sphere — Ege Rubak, Aalborg University
2:55 PM	A New Clustered Temporal Point Process Model with Application to Social Media Data — Jingfei Zhang, University of Miami ; Yongtao Guan, University of Miami ; Hansheng Wang, Peking University ; Xuening Zhu, Peking University
3:20 PM	Multivariate Spatial Point Patterns via Correlated Bernoulli Indicators — Matthew Heaton, Brigham Young University ; Matthew Bekker, Brigham Young University
3:45 PM	Floor Discussion

24	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-341
Statistical Computing and Graphics Student Awards — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics , Conference on Statistical Practice Steering Committee
Organizer(s): Patrick Breheny, University of Iowa
Chair(s): Patrick Breheny, University of Iowa
2:05 PM	Acc: An R Package to Process, Visualize, and Analyze Accelerometer Data — Jae Joon Song, University of Texas Health Science Center ; Michael Swartz, The University of Texas Health Science Center At Houston, School of Public Health ; Matthew G. Cox, University of Texas MD Anderson Cancer Center ; Karen Basen-Engquist, University of Texas MD Anderson Cancer Center
2:25 PM	The Biglasso Package: a Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R — Yaohui Zeng, University of Iowa ; Patrick Breheny, University of Iowa
2:45 PM	Scalable Bayesian Learning for Sparse Logistic Models — Xichen Huang ; Feng Liang, University of Illinois at Urbana Champaign
3:05 PM	The Self-Multiset Sampler and Its Generalization — Weihong Huang, University of Illinois at Urbana-Champaign ; Juan Shen, Fudan University ; Yuguo Chen, University of Illinois at Urbana-Champaign
3:25 PM	Chambers Award Recipient: Carson Sievert — Carson Sievert, Carson Sievert
3:45 PM	Floor Discussion

50 !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-327
Machine Learning and Statistical Inference: Building Breiman's Bridge — Invited Papers
Section on Statistical Learning and Data Science , Section on Nonparametric Statistics , Section on Statistical Computing
Organizer(s): Lucas K Mentch, University of Pittsburgh
Chair(s): Giles J Hooker, Cornell University
4:05 PM	Walk on Random Forests — Erwan Scornet, Ecole Polytechnique ; Gérard Biau, University Paris 6 ; Jean-Philippe Vert, Mines Institut Curie
4:30 PM	Central Limit Theorems and Hypothesis Tests for Random Forests — Lucas K Mentch, University of Pittsburgh ; Giles J Hooker, Cornell University
4:55 PM	Detecting Local Sparsity and High-Order Interactions with Iterative Random Forests — Sumanta Basu, Cornell University ; James Bentley Brown, Lawrence Berkeley National Laboratory ; Bin Yu, University of California, Berkeley
5:20 PM	Urban Analytics Using Tree Models — Shane Jensen, The Wharton School, University of Pennsylvania
5:45 PM	Floor Discussion

56 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-318
The Path from Big Data to Precision Medicine Is Paved with Statistics — Invited Panel
Section on Statistical Computing , Section on Statistics in Genomics and Genetics , American Medical Informatics Association , Stats. Partnerships Among Academe, Indust. & Govt. Committee
Organizer(s): Emma Huang, Janssen R&D
Chair(s): Pippa Simpson, Medical College of Wisconsin
4:05 PM	The Path from Big Data to Precision Medicine Is Paved with Statistics
Panelists:	Emma Huang, Janssen R&D Hae Kyung Im, University of Chicago Patrick Ryan, Janssen R&D Haochang Shou, University of Pennsylvania Vadim Zipunnikov, Johns Hopkins University Michelle Dunn, National Institutes of Health
5:40 PM	Floor Discussion

60 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-316
Adaptive Design and Statistical Consideration in Clinical Trials — Topic Contributed Papers
Biopharmaceutical Section , Section on Statistical Computing , Section on Medical Devices and Diagnostics
Organizer(s): Grace Liu, Johnson & Johnson
Chair(s): Grace Liu, Johnson & Johnson
4:05 PM	Investigation on Combining Phase II Proof-Of-Concept Trial with Dose Finding Trial — Yutao Liu, Columbia University ; Qiqi Deng, Boehringer Ingelheim Pharmaceuticals, Inc. ; Ken Cheung, Deptment of Biostatistics, Columbia University
4:25 PM	Adaptive Design and Statistical Consideration in Clinical Trials — Steven Sun ; Grace Liu, Johnson & Johnson ; Tianmeng Lyu, Univ. Minnesota Biostatistics Dept.
4:45 PM	Basket Trial Considerations in Phase Ib/IIa Oncology Studies of Targeted Therapy — Yihua Zhao, Boehringer Ingelheim Pharmaceuticals, Inc.
5:05 PM	Evaluation of Adaptive Sample Size Re-estimation (SSR) Designs:start small then ask for more? — Chaofeng Liu
5:25 PM	Design of Dose Finding Studies Under MCP-Mod — Jose Pinheiro, Johnson & Johnson
	Discussant: Sudhakar Rao
5:45 PM	Floor Discussion

91 !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-340
Statistical Methods for Analysis of Time-Varying Network Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistical Computing
Organizer(s): Marianna Pensky, University of Central Florida
Chair(s): Aurore Delaigle, University of Melbourne
8:35 AM	Summaries of Networks in Time — Sofia Olhede, UCL
9:00 AM	Oracle Inequalities for the Dynamic Stochastic Block Model and Time-Dependent Graphon — Marianna Pensky, University of Central Florida
9:25 AM	Nonparametrics, Network Information and Efficient Estimation — Patrick Wolfe, University College London
9:50 AM	The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks — Kevin Shuai Xu, University of Toledo ; Ruthwik Junuthula, University of Toledo ; Haghdan Maysam, University of Toledo ; Devabhaktuni Vijay, University of Toledo
10:15 AM	Floor Discussion

96 !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-344
New Statistical Methods with Distributed and Parallel Algorithms — Invited Papers
Section on Statistical Learning and Data Science , International Chinese Statistical Association , Section on Statistical Computing
Organizer(s): Xiaoming Huo, Georgia Institute of Technology
Chair(s): Manjari Narayan, Stanford University
8:35 AM	Embracing Blessing of Massive Scale in Big Data — Guang Cheng, Purdue ; Stanislav Volgushev, Univ of Toronto ; Shih-Kang Chao, Purdue
9:05 AM	High-Dimensional Non-Standard Regression — Hui Zou, University of Minnesota
9:35 AM	Discussant: Xiaoming Huo, Georgia Institute of Technology
10:05 AM	Floor Discussion

107 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-343
Quantum Computing and Its Application in Health Care — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Computing , Statistical and Applied Mathematical Sciences Institute
Organizer(s): Sergei Leonov, ICON Clinical Research
Chair(s): Reinhard Eisebitt, ICON Clinical Research
8:35 AM	An Overview of Quantum Computing Concepts and Applications in Healthcare — Steve Adachi, Lockheed Martin Space Systems Company
8:55 AM	Compute Principal Components on an Adiabatic Quantum System? — George Ostrouchov, Oak Ridge National Laboratory
9:15 AM	Quantum Computing and Numerical Statistic — Valerii Fedorov, ICONplc
9:35 AM	Discussant: Alexei Ashikhmin, Nokia Bell Labs
9:55 AM	Discussant: Sergei Leonov, ICON Clinical Research
10:15 AM	Floor Discussion

118	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-322
SPEED: Data Challenge — Contributed Speed
Government Statistics Section , Section on Statistical Computing , Section on Statistical Graphics
Chair(s): Thesia Garner, Bureau of Labor Statistics
8:35 AM	Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset — Mingzhao Hu, University of Wisconsin - Madison
8:40 AM	Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics — Randall Powers, US Bureau of Labor Statistics ; Daniel Gillman, Bureau of Labor Statistics
8:45 AM	Consumer Spending and Federal Reserve — Gaurav Sharma, The EMMES Corporation ; Bhanu Shandilya, Mixpanel ; Aditi Pradeep Sharma, UMBC
8:50 AM	Correlating Alcohol and Tobacco Use with Socio-Economic Status and Human Capital Investment — Dooti Roy, University of Connecticut ; Bibaswan Chatterjee, University of Buffalo
8:55 AM	Effect of Mode Choice and Respondent Characteristics on Data Quality - Profiling Respondents to BEA's Annual Survey of Foreign Direct Investment in the United States — Ricardo Limes, U.S. Bureau of Economic Analysis
9:00 AM	An Analysis of Consumer Budgeting and the Great Recession — Robert Garrett, Miami University - Oxford, OH ; Thomas Fisher, Miami University ; Ritu Narahari, Miami University
9:05 AM	CE-Based Consumer Expenditure Behaviors Study — Zhicong Zhao, Mississippi State University ; Fuyuan Li, George Washington University
9:10 AM	Rising to the Challenge: Winner from the BU MS in Statistical Practice Program — Eric Kolaczyk, Boston University
9:15 AM	Public Use vs. Restricted Use: a Case Study Using the American Community Survey — Satkartar Kinney, RTI International ; Alan Karr, RTI International
9:20 AM	Energy Expenditure Patterns in the United States — Joyance Meechai
9:30 AM	Interactive Visualization of Consumer Expenditure Public-Use Microdata — Nathan James ; Jacquelyn Neal, Vanderbilt University
9:40 AM	An Analysis of Selected Income and Expenditure Data by Education Level — John Hanes, Regent University ; Edith Britton, Regent University ; Brian Collins, Regent University ; Senovia Cones, Regent University ; Lawrence Cooper, Regent University ; Emily Grad, Regent University ; Ashley Hall, Regent University ; Robin Robertson, Regent University ; Gloria Robinson-Sessoms, Regent University ; Destiny Simms, Regent University
9:45 AM	Identification of Potentially Problematic Prescribing to a Vulnerable Population — Ryan Jarrett ; Richard Epstein, Chapin Hall at the University of Chicago ; Michael Cull, Vanderbilt University ; David Schlueter, Vanderbilt University ; Kathy Gracey, Vanderbilt University ; Molly Butler, Vanderbilt University ; Rameela Chandrasekhar, Vanderbilt University
9:50 AM	Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending — Frank Yoon, IBM Watson Health ; Eli Cutler, IBM Watson Health ; Brian Hochrein, IBM Watson Health ; Gary Pickens, IBM Watson Health ; Hal Skinner, IBM Watson Health ; Michael A Head, IBM Watson Health
9:55 AM	Tracking Expenditures — Michael Jadoo, Bureau of Labor Statistics
10:00 AM	Floor Discussion

143 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-316
Advancing Translational Research Using Novel Statistical Analyses for Complex and Omics Data — Invited Papers
Section on Statistics in Genomics and Genetics , WNAR , Section on Statistical Computing
Organizer(s): Lynn Lin, Pennsylvania State University
Chair(s): Ethan Fang, Pennsylvania State University
10:35 AM	Composition Estimation from Sparse Count Data via a Regularized Likelihood — Hongzhe Li, University of Pennsylvania ; Yuanpei Cao, University of Pennsylvania ; Anru Zhang, University of Wisconsin-Madison
11:00 AM	West African Ebola, Zika in the Americas and Direct Likelihood-Based Inference for Stochastic Compartmental Models — Marc A. Suchard, University of California, Los Angeles
11:25 AM	ODE Reconstruction of High-Dimensional Genetic Networks Through Game Theory — Rongling Wu, Pennsylvania State University ; Libo Jiang, Beijing Forestry University
11:50 AM	Expression Recovery in Single Cell RNA Sequencing — Mo R Huang, University of Pennsylvania ; Mingyao R Li, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
12:15 PM	Floor Discussion

172	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-345
Machine Learning and Algorithms — Contributed Papers
Section on Statistical Computing , Section on Statistical Learning and Data Science
Chair(s): Nicholas Meyer, North Carolina State University
10:35 AM	There Has to Be an Easier Way: a Simple Alternative for Parameter Tuning of Supervised Learning Methods — Jill Lundell
10:50 AM	Streaming Matrix Completion with Automated Rank Selection — Milo Page, JMP/NCSU ; Christopher M Gotwalt, JMP ; Alyson Wilson, North Carolina State University
11:05 AM	On Data Integration Problems with Manifolds — Kenneth Ryan, WVU ; Mark Culp, West Virginia University
11:20 AM	A Moment-Based Estimation Procedure for Deeply-Nested Hierarchical Models — Ningshan Zhang, New York University ; Patrick Perry, New York University ; Kyle Schmaus, Stitch Fix
11:35 AM	Online Anomaly Detection on Multi-Gigabit Network Streams — Zheng Gao, University of Michigan
11:50 AM	Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models — Daniel Apley, Northwestern University
12:05 PM	Matrix-Free Computation of Spatial-Temporal Gaussian Autoregressions and Related Stat-Space Models — Chunxiao Wang, Oregon State University ; Debashis Mondal, Oregon State University

182	Mon, 7/31/2017, 10:30 AM - 11:15 AM	CC-Halls A&B
SPEED: Data Challenge — Contributed Poster Presentations
Government Statistics Section , Section on Statistical Computing , Section on Statistical Graphics
Chair(s): Jessi Cisewski, Yale University
1:	Income and Expenditure in US Households: a Multivariate Analysis of Consumer Expenditure Fmli161 Dataset — Mingzhao Hu, University of Wisconsin - Madison
2:	Rising to the Challenge: Winner from the BU MS in Statistical Practice Program — Eric Kolaczyk, Boston University
3:	Public Use vs. Restricted Use: a Case Study Using the American Community Survey — Satkartar Kinney, RTI International ; Alan Karr, RTI International
4:	Household Energy Expenditure and Consumption Patterns in the United States — Joyance Meechai
5:	Interactive Visualization of Consumer Expenditure Public-Use Microdata — Nathan James ; Jacquelyn Neal, Vanderbilt University
7:	An Analysis of Selected Income and Expenditure Data by Education Level — John Hanes, Regent University ; Edith Britton, Regent University ; Brian Collins, Regent University ; Senovia Cones, Regent University ; Lawrence Cooper, Regent University ; Emily Grad, Regent University ; Ashley Hall, Regent University ; Robin Robertson, Regent University ; Gloria Robinson-Sessoms, Regent University ; Destiny Simms, Regent University
8:	Identification of Potentially Problematic Prescribing to a Vulnerable Population — Ryan Jarrett ; Richard Epstein, Chapin Hall at the University of Chicago ; Michael Cull, Vanderbilt University ; David Schlueter, Vanderbilt University ; Kathy Gracey, Vanderbilt University ; Molly Butler, Vanderbilt University ; Rameela Chandrasekhar, Vanderbilt University
9:	Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending — Frank Yoon, IBM Watson Health ; Eli Cutler, IBM Watson Health ; Brian Hochrein, IBM Watson Health ; Gary Pickens, IBM Watson Health ; Hal Skinner, IBM Watson Health ; Michael A Head, IBM Watson Health
10:	Tracking Expenditures — Michael Jadoo, Bureau of Labor Statistics
11:	Creation of a Web-Enabled Framework of a Taxonomy of Terms at the Bureau of Labor Statistics — Randall Powers, US Bureau of Labor Statistics ; Daniel Gillman, Bureau of Labor Statistics
12:	Consumer Spending and Federal Reserve — Gaurav Sharma, The EMMES Corporation ; Bhanu Shandilya, Mixpanel ; Aditi Pradeep Sharma, UMBC
13:	Correlating Alcohol and Tobacco Use with Socio-Economic Status and Human Capital Investment — Dooti Roy, University of Connecticut ; Bibaswan Chatterjee, University of Buffalo
14:	Effect of Mode Choice and Respondent Characteristics on Data Quality - Profiling Respondents to BEA's Annual Survey of Foreign Direct Investment in the United States — Ricardo Limes, U.S. Bureau of Economic Analysis
15:	An Analysis of Consumer Budgeting and the Great Recession — Robert Garrett, Miami University - Oxford, OH ; Thomas Fisher, Miami University ; Ritu Narahari, Miami University
16:	CE-Based Consumer Expenditure Behaviors Study — Zhicong Zhao, Mississippi State University ; Fuyuan Li, George Washington University
The Speed portion will take place during Session 214445

214797	Mon, 7/31/2017, 12:30 PM - 2:00 PM	H-Douglass
Sections on Statistical Computing and Graphics Executive Committee Meeting — Other Cmte/Business
Section on Statistical Computing
Chair(s): Catherine Calder, The Ohio State University, Michael Friendly, York University

203 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-331/332
Emerging Statistical Methods for Big Tensor Data in Chemometrics and Related Fields — Invited Papers
Section on Physical and Engineering Sciences , Quality and Productivity Section , Section on Statistical Computing
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
2:05 PM	Tensor Sufficient Dimension Reduction — Wenxuan Zhong, University of Georgia
2:30 PM	SPARSE LOW-RANK TENSOR RESPONSE REGRESSION — Will Wei Sun, University of Miami ; Lexin Li, University of California at Berkeley
2:55 PM	Multiway Component Analysis with Functional and Structural Constraints — Nathaniel Helwig, University of Minnesota
3:20 PM	Novel Statistical Approaches for Mining Big Text Data — Ke Deng, Tsinghua University ; Jun Liu, Harvard University
3:35 PM	Floor Discussion

207 !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-338
Experiments and Inference for Social Networks — Invited Papers
Section on Statistical Computing , Section on Statistical Learning and Data Science , Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Organizer(s): Daniel L Sussman, Boston University
Chair(s): Elizabeth L Ogburn, Johns Hopkins University
2:05 PM	Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks — Dean Eckles, MIT ; Alexander Peysakhovich, Facebook
2:30 PM	Unbiased Estimation Under Network Interference — Daniel L Sussman, Boston University ; Edoardo M. Airoldi, Harvard University
2:55 PM	Design of Experiments for Networks with Interference — Alexander Volfovsky, Duke University
3:20 PM	A Computational Perspective of Information Propagation in Social Networks — Laks V.S. Lakshmanan, University of British Columbia
3:45 PM	Floor Discussion

240	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-347
Computationally Intensive Methods for Estimation and Inference — Contributed Papers
Section on Statistical Computing
Chair(s): Eric Rose, NC State University
2:05 PM	An Effecient Method for Quantile Regression — Mei Ling Huang, Brock University ; Ramona Rat, Brock University ; Wai Kong Yuen, Brock University
2:20 PM	A Novel Exact Method for Significance of Higher Criticism via Steck's Determinant — Jeffrey Miecznikowski, SUNY At Buffalo ; Jiefei Wang, SUNY University at Buffalo ; Daniel Gaile , SUNY University at Buffalo ; David Tritchler, SUNY University at Buffalo
2:35 PM	Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap — Christian Schmid, The Pennsylvania State University ; Bruce Desmarais, The Pennsylvania State University
2:50 PM	A Missing Technique for Estimating Univariate Multiple Missing Values-An Advanced Re-sampling Method for Correlated Observations — Silvia Sharna, Ball State University ; Mian Adnan, Ball State University ; Rahmatullah Imon, Ball State University
3:05 PM	Efficient Solution of Large Fixed Effects Problems with Clustered Standard Errors — Thomas Balmat, Duke University ; Jerry Reiter, Department of Statistical Science, Duke University
3:20 PM	Maximum Likelihood Versus Alternative Regularized Estimators for Logistic Regression Models — Gabriel Ruiz, Department of Statistics, University of California, Riverside ; Subir Ghosh, Department of Statistics, University of California, Riverside
3:35 PM	Floor Discussion

214812	Mon, 7/31/2017, 6:00 PM - 8:00 PM	H-Key Ballroom 1
Sections on Statistical Computing and Graphics Mixer — Other Cmte/Business
Section on Statistical Graphics , Section on Statistical Computing
Chair(s): Catherine Calder, The Ohio State University, Michael Friendly, York University

266 * !	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-314
Novel Approaches to First Statistics / Data Science Course — Invited Papers
Section on Statistical Education , Section on Statistical Computing , Statistics in Business Schools Interest Group , Caucus for Women in Statistics
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Andrew Bray, Reed College
8:35 AM	Three Methods Approach to Statistical Inference — Benjamin Baumer, Smith College
8:55 AM	Lessons Learned in Transitioning from "Intro to Statistics" to "Reasoning with Data" — Rebecca Nugent, Carnegie Mellon Statistics
9:15 AM	A First-Year Undergraduate Data Science Course — Mine Cetinkaya-Rundel, Duke University
9:35 AM	Teaching Stats for Data Science — Daniel Kaplan, Macalester College
9:55 AM	Discussant: Dick DeVeaux, Williams College
10:15 AM	Floor Discussion

293	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-326
SPEED: Computing, Graphics, and Programming Statistics — Contributed Speed
Section on Statistical Computing , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistical Learning and Data Science
Chair(s): Collin Eubanks, Carnegie Mellon University
8:35 AM	Where Does All the Time Go? Measuring Clients' Service Utilization via Time-Tracking Software — Dou-Yan Yang, University of Wisconsin--Madison ; Jeff Havlena, University of Wisconsin--Madison
8:40 AM	Persistence Terrace for Topological Inference of Point Cloud Data — Chul Moon, University of Georgia ; Noah Giansiracusa, Swarthmore College ; Nicole Lazar, University of Georgia
8:50 AM	Generalized Bi-Plots for Visualized Multidimensional Projections — James Fry, Virginia Tech ; Matt Slifko, Virginia Tech ; Scotland Leman, Virginia Tech
8:55 AM	Dynamic Network Community Discovery — Shiwen Shen ; Edsel Aldea Pena, University of South Carolina
9:05 AM	Maintaining Trial Integrity for Randomized Open-Label Trials — Wenyun Ji, Amgen, Inc.
9:10 AM	A Mixture-Of-Regressions Model with Measurement Errors in the Response — Xiaoqiong Fang, University of Kentucky ; Derek Young, University of Kentucky
9:15 AM	A SAS Macro to Create Summary Tables — Amy Gravely, VA Medical Center ; Barbara Clothier, CCDOR MVAHCS
9:20 AM	Sequential Computer Experiments for Failure Probability Estimation --- a Floor System Example — Hao Chen, University of British Columbia ; William James Welch, University of British Columbia
9:30 AM	A Network-based Algorithm for Clustering Multivariate Longitudinal Data — Matthew Koslovsky, KBRwyle ; Millennia Young, National Aeronautics and Space Administration ; Caroline Schaefer, MEI Technologies ; John Arellano, MEI Technologies ; Al Feiveson, National Aeronautics and Space Administration
9:35 AM	Floor Discussion

302	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-311
Bayesian Modeling — Contributed Papers
Section on Statistical Computing
Chair(s): Susheela Singh, North Carolina State University
8:35 AM	Infinite Mixture of Multinomial Distribution Approximation for Incomplete Categorical Data — Chaojie Wang, The Chinese Univ of Hong Kong
8:50 AM	A Mixture of Gaussian and Student's T Errors for a Robust and Accurate Parameter Estimation — Hyungsuk Tak, SAMSI ; Justin A. Ellis, Jet Propulsion Laboratory ; Sujit K Ghosh, North Carolina State University
9:05 AM	Sequential Monte Carlo for Dynamic Latent Space Networks — Kathryn Turnbull, Lancaster University ; Matthew Nunes, Lancaster University ; Christopher Nemeth, Lancaster University ; Tyler McCormick, University of Washington
9:20 AM	Bayesian Inference in the Presence of Intractable Normalizing Functions — Jaewoo Park, Penn State University
9:35 AM	Hybrid Adaptive MCMC Block Sampling — Daniel Turek, Williams College ; Nicholas Michaud, University of California, Berkeley
9:50 AM	The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models — Birgir Hrafnkelsson, University of Iceland ; Dan Simpson, University of Bath ; Oli Pall Geirsson, University of Iceland
10:05 AM	A Simple, Fast Sampler for Simulating Spatial Data and Other Markovian Data Structures — Andrea Kaplan, Iowa State University ; Mark Kaiser, Iowa State University ; Soumendra N Lahiri, North Carolina State University ; Daniel Nordman, Iowa State University

303	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-312
Big Data — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): James Gilman, NC State University
8:35 AM	What's in a Vector? Major Improvements on the Horizon for R and What They Mean for You — Gabriel Becker, Genentech Research ; Luke Tierney, University of Iowa
8:50 AM	A Divide-And-Conquer Approach for Survival Analysis in Big Data — Shou-En Lu, Rutgers Department of Biostatistics ; Jerry Q. Cheng, Rutgers Cardiovascular Institute of New Jersey ; Minge Xie, Rutgers University
9:05 AM	Big Health Data Using Probabilistic Record Linkage — Bong-Jin Choi, University of North Carolina at Chapel Hill ; Ke Meng, University of North Carolina at Chapel Hill ; Tzy-Mey Kuo, University of North Carolina at Chapel Hill ; Adrian Meyer, University of North Carolina at Chapel Hill ; Laura Green, University of North Carolina at Chapel Hill ; Christopher Baggett, University of North Carolina at Chapel Hill ; Anne-Marie Meyer, University of North Carolina at Chapel Hill ; YunKyung Chang, University of North Carolina at Chapel Hill
9:20 AM	Multi-Resolution Approximations of Gaussian Processes for Big Spatial Data — Wenlong Gong, Texas A&M University
9:50 AM	A Randomized Algorithm for Maximum Likelihood Estimation with Spatial Autoregressive Models — Miaoqi Li, University of Cincinnati ; Emily L. Kang, University of Cincinnati
10:05 AM	Sparse Group Fused Lasso in High Dimension — David Degras, University of Massachusetts Boston

307 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-344
Bayesian Computational Advances for Complex and Large-Scale Data — Invited Papers
Section on Statistical Computing , Section on Bayesian Statistical Science , Section on Statistical Learning and Data Science
Organizer(s): Naveen N Narisetty, University of Illinois at Urbana-Champaign
Chair(s): Alexander Giessing, University of Michigan
10:35 AM	Bayesian Neural Networks for High-Dimensional Nonlinear Variable Selection — Faming Liang, University of Florida
11:00 AM	Multivariate Output Analysis for Markov Chain Monte Carlo — Galin Jones, University of Minnesota ; Dootika Vats, University of Minnesota ; James Flegal, University of California, Riverside
11:25 AM	High-Dimensional Bayesian Computation for Censored Quantile Regression — Naveen N Narisetty, University of Illinois at Urbana-Champaign ; Xuming He, University of Michigan
11:50 AM	A Variational Bayesian Algorithm for Sparse PCA — Feng Liang, University of Illinois at Urbana Champaign ; Yunbo Ouyang, University of Illinois at Urbana Champaign ; Jianjun Hu, Union Bank
12:15 PM	Floor Discussion

345	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-345
Computationally Intensive Methods — Contributed Papers
Section on Statistical Computing
Chair(s): Kristin Linn, University of Pennsylvania
10:35 AM	GENERALIZED CONFIDENCE LIMITS ON LIFETIME PERFORMANCE INDEX FOR THE TWO-PARAMETER EXPONENTIAL LIFETIME MODEL WITH A RIGHT TYPE II CENSORED SAMPLE — Danush Wijekularathna, Troy University ; SUMITH GUNASEKERA, University of Tennessee at Chattanooga
10:50 AM	A Two-Stage Algorithm for Computation of the Exact Distribution of Sums of Spacings — Chien-Tai Lin, Tamkang University ; Chung-Tao Lu, E.Sun Bank
11:05 AM	An EM Algorithm for Fitting the Generalized Odds-Rate Model to Interval Censored Data — Jie Zhou ; Jiajia Zhang, University of South Carolina ; Wenbin Lu, North Carolina State University
11:20 AM	A Comparison Study of Some Competing Accelerated Life Testing Models, with Applications to Class-H Insulation Data — Debaraj Sen, Concordia University
11:50 AM	Floor Discussion

349	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-Halls A&B
Contributed Poster Presentations: Section on Statistical Computing — Contributed Poster Presentations
Section on Statistical Computing
Chair(s): Jessi Cisewski, Yale University
11:	Bootstrapping and Cross-Validating Generalized PLS Regressions Using GPU — Frederic Bertrand, University of Strasbourg ; Myriam Maumy, Universite de Strasbourg
12:	Early Stage Investigator Policy Evaluation: The Statistical Necessities — Rachael Walsh, National Institutes of Health, Office of Extramural Research ; Robert Moore, National Institutes of Health, Office of Extramural Research

359	Tue, 8/1/2017, 11:35 AM - 12:20 PM	CC-Halls A&B
SPEED: Computing, Graphics, and Programming Statistics — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Quality and Productivity Section , Section on Statistical Consulting , Section on Statistical Learning and Data Science
Chair(s): Jessi Cisewski, Yale University
1:	Where Does All the Time Go? Measuring Clients' Service Utilization via Time-Tracking Software — Dou-Yan Yang, University of Wisconsin--Madison ; Jeff Havlena, University of Wisconsin--Madison
2:	Persistence Terrace for Topological Inference of Point Cloud Data — Chul Moon, University of Georgia ; Noah Giansiracusa, Swarthmore College ; Nicole Lazar, University of Georgia
4:	Generalized Bi-Plots for Visualized Multidimensional Projections — James Fry, Virginia Tech ; Matt Slifko, Virginia Tech ; Scotland Leman, Virginia Tech
5:	Dynamic Network Community Discovery — Shiwen Shen ; Edsel Aldea Pena, University of South Carolina
6:	Maintaining Trial Integrity for Randomized Open-Label Trials — Wenyun Ji, Amgen, Inc.
7:	A Mixture-Of-Regressions Model with Measurement Errors in the Response — Xiaoqiong Fang, University of Kentucky ; Derek Young, University of Kentucky
8:	A SAS Macro to Create Summary Tables — Amy Gravely, VA Medical Center ; Barbara Clothier, CCDOR MVAHCS
9:	Sequential Computer Experiments for Failure Probability Estimation --- a Floor System Example — Hao Chen, University of British Columbia ; William James Welch, University of British Columbia
11:	A Network-based Algorithm for Clustering Multivariate Longitudinal Data — Matthew Koslovsky, KBRwyle ; Millennia Young, National Aeronautics and Space Administration ; Caroline Schaefer, MEI Technologies ; John Arellano, MEI Technologies ; Al Feiveson, National Aeronautics and Space Administration
The Speed portion will take place during Session 214531

384 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-337
Bayes, Frequentist, Fiducial: BFF in Action — Invited Papers
General Methodology , Section on Statistical Computing , Section on Statistical Learning and Data Science
Organizer(s): Nils Lid Hjort, University of Oslo
Chair(s): Nils Lid Hjort, University of Oslo
2:05 PM	Confidence Inference Function in Big Data — Peter XK Song, University of Michigan, ; Ling X.K. Zhou, University of Michigan
2:30 PM	Application of Generalized Fiducial Inference to Biological Sciences — Jan Hannig, University of North Carolina at Chapel Hill
2:55 PM	Combining Diverse Information Sources with the II-CC-FF Paradigm — Céline Cunen, University of Oslo ; Nils Lid Hjort, University of Oslo
3:20 PM	A Sequential Split-Conquer-Combine Approach for Gaussian Process Modeling in Computer Experiments — Ying Hung ; Minge Xie, Rutgers University ; Chengrui Li, Rutgers University
3:45 PM	Floor Discussion

414	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-338
Model Building and Selection — Contributed Papers
Section on Statistical Computing
Chair(s): Harold Gomes, US Bureau of Labor Statistics
2:05 PM	Local Variable Selection in Sequential Optimization — Munir Winkel, North Carolina State University ; Brian Reich, NCSU ; Jonathan W. Stallings, North Carolina State University
2:20 PM	Model-Selection Consistency of Forward Selection in High-Dimensional Regression — Jerzy Wieczorek, Carnegie Mellon University ; Jing Lei, Carnegie Mellon University
2:35 PM	Number of Samples Needed for Model Selection with Confidence — Sean Carver, American University
2:50 PM	Copula Modeling for Data with Ties — Yichen Qin, University of Cincinnati ; Yan Li, University of Connecticut ; Yang Li, Renmin University of China ; Jun Yan, University of Connecticut
3:05 PM	A Data-Driven Approach to the Problem of Multiple Testing — Nasrine Bendjilali, Rowan University ; Boualem Bendjilali, RVCC ; Wei-Min Huang, Lehigh University
3:20 PM	Generalized Mixed Effects Regression Tree for Longitudinal Count Data — Xiaoqin Xiong, Food and Drug Administration ; Joel A Dubin, University of Waterloo
3:35 PM	Gaussian Mixture Modeling Under Measurement Uncertainty — Shuchismita Sarkar, University of Alabama ; Volodymyr Melnykov, The University of Alabama ; Rong Zheng, University of Alabama

475	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-347
Statistical Computing and Inference — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Nasrine Bendjilali, Rowan University
8:35 AM	Bootstrapping General ARIMA Models — Maher Qumsiyeh ; Dalton Gannon, University of Dayton
8:50 AM	Approximating Probability Distributions in an Extreme Renewal Process — Percy Brill, University of Windsor ; Mei Ling Huang, Brock University
9:05 AM	SUFFICIENT WEIGHTED BOOTSTRAPPING — Khairul Islam, Eastern Michigan University ; Sarjinder Singh, Texas A&M University-Kingsville
9:20 AM	Copula Importance Sampling — Douglas VanDerwerken, United States Naval Academy
9:35 AM	Simulation and Power Analysis of Generalized Linear Mixed Models — Brandon LeBeau, University of Iowa
9:50 AM	Inference for COM-Poisson Cure Rate Model with Interval Censored Data — Suvra Pal, University of Texas Arlington - Arlington, TX ; Narayanaswamy Balakrishnan, McMaster University
10:05 AM	Studying Crime Trends in the United States in the XXI Century — Xuwen Zhu, The University of Louisville ; Volodymyr Melnykov, The University of Alabama

480 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-341
Modernizing the Undergraduate Statistics Curriculum — Invited Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section on Statistical Computing , Statistics in Business Schools Interest Group
Organizer(s): Mine Cetinkaya-Rundel, Duke University
Chair(s): Mine Cetinkaya-Rundel, Duke University
10:35 AM	Modernizing the Undergraduate Statistics Curriculum — Nicholas J Horton, Amherst College
10:55 AM	Industry Expectations for Statistics Graduates — Hilary Parker, Stitch Fix
11:15 AM	Expectations and Skills for Undergraduate Students Doing Research in Statistics and Data Science — Jo Hardin, Pomona College
11:35 AM	Moving Away from Ad Hoc Statistical Computing Education — Colin Rundel, Duke University Statistical Science
11:55 AM	Discussant: Rob Gould, UCLA
12:15 PM	Floor Discussion

487 *	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-326
Design and Analysis of Computer Experiments for Complex Systems — Invited Papers
Section on Physical and Engineering Sciences , Section on Statistical Computing , IMS
Organizer(s): Ying Hung
Chair(s): Ying Hung
10:35 AM	Replication or exploration? Sequential design for stochastic simulation experiments. — Robert Gramacy, Virginia Tech Department of Statistics ; Bickael Binois, The University of Chicago ; Mike Ludkovski, University of California, Santa Barbara
11:00 AM	Analysis of dimension reduction in Gaussian process regression — Minyong Lee, Stanford University ; Art Owen, Stanford University
11:25 AM	Stabilizing Gradient Enhanced Emulators with Sparsity Constraints — Peter Qian, University of Wisconsin-Madison ; Jared Huling, University of Wisconsin-Madison
11:50 AM	Sequential learning of deformation models in additive manufacturing through calibration of simulation models — Tirthankar Dasgupta, Rutgers University ; Ying Hung
12:15 PM	Floor Discussion

518	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-347
Software for Statistical Computing — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Yichi Zhang, Harvard University
10:35 AM	EyeTrVis: An R Package for the Extraction and Visualization of Eye Tracking Data from People Looking at Posters — Chunyang Li ; Jurgen Symanzik, Utah State University
10:50 AM	Eye-Tracking in Practice: A First Analysis of a Study on Human Postures — Jurgen Symanzik, Utah State University ; Chunyang Li ; Boyu Zhang, Utah State University ; Breanna Studenka, Utah State University ; Eric McKinney, Utah State University
11:05 AM	Likelihood-Ratio and $C(\Alpha)$ Tests for ODE Models — Yuping Yang, Simon Frase University ; Richard Lockhart, Simon Fraser University ; Jiguo Cao, Simon Frase University
11:20 AM	Turning the Tables on Probability Distributions — Stephen Mansour, University of Scranton
11:35 AM	Standardizing Assessment of Time-Series Forecasting Models — Nicholas G. Reich, University of Massachusetts Amherst ; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health ; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health ; Stephen Lauer, University of Massachusetts - Amherst ; Krzysztof Sakrejda, University of Massachusetts - Amherst ; Justin Lessler, Johns Hopkins Bloomberg School of Public Health
11:50 AM	RCAP Designer: Creating Analytical Dashboards on the RCloud Platform — Robert Archibald, Macrosoft Inc ; Ganesh Subramaniam, AT&T ; Simon Urbanek, AT&T Labs Research
12:05 PM	In with the New: a Shiny App for Exploring Summary Data Tables from the Medical Expenditure Panel Survey — Emily Mitchell, Agency for Healthcare Research and Quality

548 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-341
The Evolution and Future Direction of Statistical Computing and Visualization — Invited Papers
Section on Statistical Computing , Caucus for Women in Statistics , Section on Statistical Graphics , Section for Statistical Programmers and Analysts , Statistics Without Borders
Organizer(s): Nusrat Jahan, James Madison University
Chair(s): Jiayang Sun, Case Western Reserve University
2:05 PM	A girl geek's guide to new research on interactive data visualization for statistics with lots of data — Dianne Cook, Monash University
3:30 PM	Practical Data Analysis: An Algorithmic Approach — Leland Wilkinson, H2O.ai
2:55 PM	Discussant: Dalene K. Stangl, Duke University
3:15 PM	Floor Discussion

600 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-340
High-Dimensional Time Series and Applications in Social and Biological Sciences — Invited Papers
WNAR , Section on Statistical Computing , Section on Statistical Learning and Data Science
Organizer(s): Ali Shojaie, University of Washington
Chair(s): Ali Shojaie, University of Washington
8:35 AM	A Flexible Non-parametric Framework for High-Dimensional Multi-way Data — Zhaoxia Yu, University of California, Irvine ; Tong Shen, University of California, Irvine ; Dustin Pluta, University of California, Irvine ; Hernando Ombao, University of California, Irvine; King Abdullah University of Science and Technology
9:00 AM	Granger Causality Networks for Categorical Time Series: Convex Mixture Transition Distribution — Alex Tank, University of Washington ; Ali Shojaie, University of Washington ; Emily Fox, University of Washington
9:25 AM	Leaning Multivariate High-Dimensional Point Process Models — Garvesh Raskutti, University of Wisconsin-Madison
9:50 AM	Eigenvalues of Covariance Matrices of High-Dimensional Time Series — Alexander Aue, University of California, Davis ; Haoyang Liu, University of California, Berkeley ; Debashis Paul, University of California, Davis
10:15 AM	Floor Discussion

602 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-321
Bridging the Gap Between Statistics and Other Data Sciences: Where's the Bridge? Where's the Gap? — Invited Panel
Section on Statistical Consulting , Section on Statistical Learning and Data Science , Section on Statistical Computing , Statistics Without Borders , Conference on Statistical Practice Steering Committee , Statistics in Business Schools Interest Group
Organizer(s): Jason Brinkley, American Institutes for Research
Chair(s): Jason Brinkley, American Institutes for Research
8:35 AM	Bridging the Gap Between Statistics and Other Data Sciences: Where's the Bridge? Where's the Gap?
Panelists:	Edward Boone, Virginia Commonwealth University Randy Bartlett, Blue Sigma Analytics Mark Lancaster, Northern Kentucky University Andrew Ekstrom, University of Michigan - Dearborn Fred Hulting, General Mills
10:10 AM	Floor Discussion

649 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-319
Advances in Finite Mixture Modeling and Model-Based Clustering — Topic Contributed Papers
Section on Statistical Computing
Organizer(s): Xuwen Zhu, The University of Louisville
Chair(s): Xuwen Zhu, The University of Louisville
10:35 AM	Doubly Smoothed MLE in Semiparametric Mixtures — Byungtae Seo, Sungkyunkwan University
10:55 AM	A Novel Algorithm for Clustering of Data on the Unit Sphere via Mixture Models — Hien Nguyen, LA TROBE UNIVERSITY
11:15 AM	Merging K-Means Solutions for Clustering — Semhar Michael, South Dakota State University ; Volodymyr Melnykov, The University of Alabama
11:35 AM	A Finite Mixture Model Approach to Regression Under Covariate Misclassification — Jingyu He ; P. Richard Hahn, University of Chicago Booth School of Business ; Michelle Xia, Northern Illinois University
11:55 AM	Model-Based Clustering of Big Data — Paul McNicholas, McMaster University
12:15 PM	Floor Discussion

670	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-312
Statistical Computing in Data Science — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Wenhao Hu, North Carolina State University
10:35 AM	What Is the the Best and Safest for Me? Data Science Methods Applied to Medical Products and Treatments — Carolyn Carroll, Stat Tech, Inc.
10:50 AM	Automated Detection of Data Quality Anomalies in 3rd Party Administrative Data — Thomas George, Vidoori
11:05 AM	Statistical Calculations Through Rational Arithmetic and Conversions — Timothy Hall, PQI Consulting
11:20 AM	Florida Public Hurricane Model - Estimation of Extreme Losses — Florence George, Florida International University ; Sneh Gulati, Florida International University ; Shahid Hamid, Florida International University
11:35 AM	Trends and Volatility of Stock Prices Following Occurrence of Specific Technical Patterns — James Shine, US Army (retired) ; James Gentle, George Mason University ; Charles Perry, USDA retired
11:50 AM	Floor Discussion

JSM 2017 Online Program

Activity Details

ASA Meetings Department

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