JSM 2016 Online Program

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

21	Sun, 7/31/2016, 2:00 PM - 3:50 PM	CC-W175b
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	A Fully Bayesian Strategy for High-Dimensional Hierarchical Modeling Using Massively Parallel Computing — William Landau, Iowa State University ; Jarad Niemi, Iowa State University
2:25 PM	The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R — Xingguo Li ; Tuo Zhao, The Johns Hopkins University ; Tong Zhang, Rutgers University ; Han Liu, Princeton
2:45 PM	Nonparametric Signal Procession of Space-Time Trajectory Data: Algorithm for Eye Movement Pattern Recognition — Shinjini Nandi, Temple University ; Subhadeep Mukhopadhyay, Temple University Fox School of Business
3:05 PM	Using the Geomnet Package: Visualizing African Slave Trade, 1514--1866 — Samantha Tyner, Iowa State University
3:25 PM	Xgboost: An R Package for Fast and Accurate Gradient Boosting — Tong He, Simon Fraser University
3:45 PM	Floor Discussion

32 * !	Sun, 7/31/2016, 2:00 PM - 3:50 PM	CC-W175a
Regression Models — Contributed Papers
Section on Statistical Computing
Chair(s): Niloofar Ramezani, University of Northern Colorado
2:05 PM	Predictive Analytics: Modes of Collection — Tian Luo, Bureau of Labor Statistics ; Amar Mann, Bureau of Labor Statistics ; Richard Holden, Bureau of Labor Statistics
2:20 PM	Assessing the Prediction Performance of Some Shrinkage Regression Techniques — Yunfan Li, Purdue University ; Anindya Bhadra, Purdue University
2:35 PM	Variable Selection Utilizing the Whole Solution Path — Yang Liu, Fred Hutchinson Cancer Research Center ; Peng Wang, University of Cincinnati
2:50 PM	Modeling with Gamuts — William Heavlin, Google
3:05 PM	A Penalized Likelihood Approach for Heteroscedastic Linear Models — Kwame Kankam, Penn State University ; James Rosenberger, Penn State University
3:20 PM	A Scalable Framework for Minimum Distance Estimation with Applications to Mixture Modeling and Robust, Structured Regression — Jocelyn Chi, North Carolina State University ; Eric Chi, North Carolina State University
3:35 PM	Cross-Validation Methods for Assessing Prediction Models in a Survival Context — Hongying Li, University of California at San Diego ; Karen Messer, University of California at San Diego

47 !	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W183b
Making the Most of R Tools — Invited Papers
Section on Statistical Computing , Royal Statistical Society , International Chinese Statistical Association , Section for Statistical Programmers and Analysts , Conference on Statistical Practice Steering Committee
Organizer(s): Wendy Martinez, Bureau of Labor Statistics
Chair(s): Jeffrey Gonzalez, Bureau of Labor Statistics
4:05 PM	Thinking with Data Using R and RStudio: Powerful Idioms for Analysts — Nicholas Jon Horton, Amherst College ; Randall Pruim, Calvin College ; Daniel Kaplan, Macalester College
4:35 PM	Transform Your Workflow and Deliverables with Shiny and R Markdown — Garrett Grolemund, RStudio
5:05 PM	Discussant: Hadley Wickham, Rice University
5:25 PM	Floor Discussion

61 * !	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W175c
Modeling Multivariate Count Data: Multivariate Extensions and Generalizations of Standard Count Distributions — Topic Contributed Papers
Government Statistics Section , Section on Statistical Computing
Organizer(s): Darcy S. Morris, U.S. Census Bureau
Chair(s): Andrew Raim, U.S. Census Bureau
4:05 PM	Modeling with Bivariate Geometric Distributions — Jing Li
4:25 PM	Bivariate Exponentiated-Exponential Geometric Regression Model — Felix Famoye, Central Michigan University
4:45 PM	Introducing the Bivariate Conway-Maxwell-Poisson Distribution — Kimberly Sellers, Georgetown University ; Darcy S. Morris, U.S. Census Bureau ; Narayanaswamy Balakrishnan, McMaster University
5:05 PM	Multivariate Discrete Distributions and Goodness-of-Fit — Sunil Dhar, New Jersey Institute of Technology
5:25 PM	Recent Developments in Multivariate Count Data and Ordered Response Models — Shiferaw Gurmu, Georgia State University
5:45 PM	Floor Discussion

127 * !	Mon, 8/1/2016, 8:30 AM - 10:20 AM	CC-W196c
R Tools for Statistical Computing — Contributed Papers
Section on Statistical Computing , International Chinese Statistical Association
Chair(s): Haim Y. Bar, University of Connecticut
8:35 AM	The Biglasso Package: Extending Lasso Model Fitting to Big Data in R — Yaohui Zeng, University of Iowa ; Patrick Breheny, University of Iowa
9:05 AM	Introduction to the TextmineR Package for R — Thomas Jones, Impact Research
9:35 AM	New Computational Approaches to Large/Complex Mixed Effects Models — Norman Matloff, University of California at Davis
9:50 AM	Broom: An R Package for Converting Statistical Modeling Objects Into Tidy Data Frames — David G. Robinson, Stack Overflow
10:05 AM	Exact Parametric and Nonparametric Likelihood-Ratio Tests for Two-Sample Comparisons — Yang Zhao, SUNY Buffalo ; Albert Vexler, SUNY Buffalo ; Alan Hutson, SUNY Buffalo ; Xiwei Chen, SUNY Buffalo

166 * !	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W176b
How Can Optimization Make Statistical Modeling More Actionable? — Topic Contributed Papers
Section on Statistical Computing
Organizer(s): Jane Chu, IBM
Chair(s): Jing Shyr, IBM
10:35 AM	Optimization Under Uncertainty: Combining Statistics and Stochastic Optimization — Jean Francois Puget, IBM
10:55 AM	Evidence-Based Optimization of Complex Infrastructures — Pascal Van Hentenryck
11:15 AM	Optimization Under Uncertainty: Combining Statistics and Stochastic Optimization — Mark Squillante, IBM Research
11:35 AM	Online Revenue Management Using Thompson Sampling — Kris Ferreira, Harvard Business School ; He Wang, MIT Operations Research Center ; David Simchi-Levi, MIT Operations Research Center
11:55 AM	What-If Analysis and Goal-Seek Analysis for Prescriptive Time Series Forecasting — Jane Chu, IBM ; Jean Francois Puget, IBM
12:15 AM	Floor Discussion

167 !	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W175c
Methodological Advances and Applications of Finite Mixture Modeling — Topic Contributed Papers
Section on Statistical Learning and Data Science , Section on Statistical Computing
Organizer(s): Semhar Michael, South Dakota State University
Chair(s): Semhar Michael, South Dakota State University
10:35 AM	Manly Transformation in Finite Mixture Modeling — Xuwen Zhu, University of Alabama ; Volodymyr Melnykov, University of Alabama
10:55 AM	Local Identifiability in Finite Mixture Model: A Gold Standard Solution? — Daeyoung Kim, University of Massachusetts - Amherst
11:15 AM	Modeling Right-Censored Loss Data Using Mixture of Distributions — Tatjana Miljkovic, Miami University ; Semhar Michael, South Dakota State University ; Volodymyr Melnykov, University of Alabama
11:35 AM	Model-Based Regression Clustering for High-Dimensional Data — Emilie Devijver
11:55 AM	Studying the Importance of Variables for Clustering — Volodymyr Melnykov, University of Alabama ; Yana Melnykov, University of Alabama ; Xuwen Zhu, University of Alabama
12:15 PM	Floor Discussion

169	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W181a
SPEED: Statistical Computing and Sports — Contributed Speed
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Daniel Yang, Bureau of Labor Statistics
10:35 AM	Pitch Quantification in Baseball: Reducing a Pitch to a Single Number — Jason Wilson, Biola University
10:40 AM	Career Type Assessment of International Cyclists on Ratings from Ranked-Order Logit Model Results for Multi-Competitor Sports — Kathryn McKeough ; Mark Glickman, Harvard
10:50 AM	Missing Data in the Context of Student Growth Models — Katherine Wright, Loyola University Chicago ; John Gatta, Northwestern University, ECRA Group ; Therese D. Pigott, Loyola University Chicago
10:55 AM	Developing Tools for Text Analysis of Survey Data — Randall Powers, Bureau of Labor Statistics ; Brandon Kopp, Bureau of Labor Statistics ; Wendy Martinez, Bureau of Labor Statistics
11:05 AM	Using Play-by-Play Data to Model, Simulate, and Predict NBA Games — Sebastian Rodriguez, University of California at Merced
11:10 AM	Improved Expected Points and Win Probability Models for NFL Coach and Player Evaluation — Gregory Miller, Bucknell University ; Gabrielle Flynt, Bucknell University ; Sam Ventura , Carnegie Mellon University ; Andrew Crossett, West Chester University
11:15 AM	Managerial Duration Across Professional Soccer Leagues — Vittorio Addona, Macalester College ; James Meyerson, Macalester College ; Zach Gilfix, Macalester College
11:20 AM	The Effect of Accounting for All Weight Adjustments in the Construction of Student Replicate Weights in a National, Cross-Sectional Study — Ruby Johnson, RTI International ; Peter Siegel, RTI International
11:35 AM	An Adaptive Importance Sampling Approach for Efficiently Estimating Small P-Values in Permutation Tests — Yang Shi, University of Michigan ; Huining Kang, University of New Mexico ; Ji-Hyun Lee, University of New Mexico ; Hui Jiang, University of Michigan
11:40 AM	Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies — Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Liubov S. Arbeeva, Duke University ; Igor Akushevich, Duke University ; Anatoliy I. Yashin, Duke University
11:45 AM	An Efficient Sampling Algorithm for Network Motif Detection — Yinghan Chen
11:50 AM	A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks — Huan Li, University of Alabama ; Michael D. Porter, University of Alabama
11:55 AM	Comparison of Single Event, Competing Risks, and Frailty-Based Models for Competing Risks Data — Yuliang Liu, University of Alabama at Birmingham ; Charity Morgan, University of Alabama at Birmingham ; Gary R. Cutter, University of Alabama at Birmingham
12:05 PM	More Efficient and Robust Permutation-Based Methods for Controlling the False Discovery Rate — Divya Nair ; Christopher Corcoran, Utah State University ; Pralay Senchaudhuri, Cytel ; Alexandre Buer, Cytel ; William Welbourn, Jr., Clinipace Worldwide
12:10 PM	The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere — Phillip Paine, University of Nottingham
12:15 PM	The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data — Michael Regier, West Virginia University ; Erica E. M. Moodie, McGill University

213513	Mon, 8/1/2016, 12:30 PM - 2:00 PM	CC-N127
Section on Statistical Computing Executive Committee Meeting — Other Cmte/Business
Section on Statistical Computing
Chair(s): David Poole, AT&T Labs Research

222 * !	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W185d
Tricks and Treats in Classification and Regression Trees — Invited Papers
Section on Statistical Computing , International Chinese Statistical Association , Committee on Applied Statisticians
Organizer(s): Wei-Yin Loh, University of Wisconsin
Chair(s): Wenwen Zhang, Takeda
2:05 PM	Overcoming Computational Challenges of Subgroup Identification Using SIDES Method — Ilya Lipkovich, Quintiles ; Alex Dmitrienko, Quintiles
2:30 PM	Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Recursive Partitioning — Xiaogang Su, The University of Texas at El Paso ; Joseph Kang, CDC ; Lei Liu, Northwestern University ; Qiong Yang, Boston University ; Juanjuan Fan, San Diego State University ; Richard Levine, San Diego State University
2:55 PM	Some Ideas Left Out of CART — Padraic Grantier Neville, SAS Institute
3:20 PM	Some Tricks Behind the GUIDE Algorithm — Wei-Yin Loh, University of Wisconsin
3:45 PM	Floor Discussion

243 !	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W186b
Probability Estimation — Contributed Papers
Section on Statistical Computing
Chair(s): Marie Vendettuoli, USDA
2:05 PM	A Prior for Time-Varying Covariance Matrices — Georgios Papageorgiou, University of London
2:20 PM	Inference of Stress Strength for Gompertz Model with Record Sample — Morgan Barnes, University of South Dakota ; Yuhlong Lio, University of South Dakota ; Nan Jiang, University of South Dakota
2:35 PM	Statistical Techniques Used in Simulation of Particle Size Distribution Profiles of Orally Inhaled Products — Monisha Dey, Merck ; J. David Christopher, Merck ; Ziqing Pan, Statistician dDimension
2:50 PM	Maximum Likelihood Estimation of Gaussian Copula Models for Geostatistical Count Data — Zifei Han ; Victor De Oliveira, The University of Texas at San Antonio
3:20 PM	A Sequential Monte Carlo Approach to Estimate Parameters of Ornstein-Uhlenbeck Process from First Passage Times — Long Tao, Boston University ; Uri Eden, Boston University
3:35 PM	MM Algorithms for Variance Components Models — Liuyi Hu, North Carolina State University ; Hua Zhou, University of California at Los Angeles ; Jin Zhou, University of Arizona ; Kenneth Lange, University of California at Los Angeles

266	Mon, 8/1/2016, 2:00 PM - 2:45 PM	CC-Hall F1 West
SPEED: Statistical Computing and Sports, Part 2A — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Genevera Allen, Rice University
1:	Pitch Quantification in Baseball: Reducing a Pitch to a Single Number — Jason Wilson, Biola University
2:	Career Type Assessment of International Cyclists on Ratings from Ranked-Order Logit Model Results for Multi-Competitor Sports — Kathryn McKeough ; Mark Glickman, Harvard
4:	Effects of Missing Data on Student Growth Estimates — Katherine Wright, Loyola University Chicago ; John Gatta, Northwestern University, ECRA Group ; Therese D. Pigott, Loyola University Chicago
5:	Developing Tools for Text Analysis of Survey Data — Randall Powers, Bureau of Labor Statistics ; Brandon Kopp, Bureau of Labor Statistics ; Wendy Martinez, Bureau of Labor Statistics
7:	Using Play-by-Play Data to Model, Simulate, and Predict NBA Games — Sebastian Rodriguez, University of California at Merced
8:	Improved Expected Points and Win Probability Models for NFL Coach and Player Evaluation — Gregory Miller, Bucknell University ; Gabrielle Flynt, Bucknell University ; Sam Ventura , Carnegie Mellon University ; Andrew Crossett, West Chester University
9:	Managerial Duration Across Professional Soccer Leagues — Vittorio Addona, Macalester College ; James Meyerson, Macalester College ; Zach Gilfix, Macalester College
10:	The Effect of Accounting for All Weight Adjustments in the Construction of Student Replicate Weights in a National, Cross-Sectional Study — Ruby Johnson, RTI International ; Peter Siegel, RTI International
The oral portion will take place during Session 213157

269	Mon, 8/1/2016, 3:05 PM - 3:50 PM	CC-Hall F1 West
SPEED: Statistical Computing and Sports, Part 2B — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Genevera Allen, Rice University
2:	An Adaptive Importance Sampling Approach for Efficiently Estimating Small P-Values in Permutation Tests — Yang Shi, University of Michigan ; Huining Kang, University of New Mexico ; Ji-Hyun Lee, University of New Mexico ; Hui Jiang, University of Michigan
3:	Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies — Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Liubov S. Arbeeva, Duke University ; Igor Akushevich, Duke University ; Anatoliy I. Yashin, Duke University
4:	An Efficient Sampling Algorithm for Network Motif Detection — Yinghan Chen
5:	A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks — Huan Li, University of Alabama ; Michael D. Porter, University of Alabama
6:	Comparison of Single Event, Competing Risks, and Frailty-Based Models for Competing Risks Data — Yuliang Liu, University of Alabama at Birmingham ; Charity Morgan, University of Alabama at Birmingham ; Gary R. Cutter, University of Alabama at Birmingham
8:	More Efficient and Robust Permutation-Based Methods for Controlling the False Discovery Rate — Divya Nair ; Christopher Corcoran, Utah State University ; Pralay Senchaudhuri, Cytel ; Alexandre Buer, Cytel ; William Welbourn, Jr., Clinipace Worldwide
9:	The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere — Phillip Paine, University of Nottingham
10:	The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data — Michael Regier, West Virginia University ; Erica E. M. Moodie, McGill University
The oral portion will take place during Session 213157

213577	Mon, 8/1/2016, 6:00 PM - 8:00 PM	H-Stevens Salon A 4
Sections on Statistical Computing and Graphics Mixer — Other Cmte/Business
Section on Statistical Computing , Section on Statistical Graphics
Chair(s): David Poole, AT&T Labs Research

294 * !	Tue, 8/2/2016, 8:30 AM - 10:20 AM	CC-W185a
Recent Developments of Graphical Modeling of Data with Complex Structures — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics
Organizer(s): Zhao Ren, University of Pittsburgh, Wen Zhou, Colorado State University
Chair(s): Harold Gomes, Bureau of Labor Statistics
8:35 AM	Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions — Yin Xia, The University of North Carolina at Chapel Hill
8:55 AM	Testing Independence with High-Dimensional Correlated Samples — Xi Chen ; Weidong Liu, Shanghai Jiao Tong University
9:15 AM	Testing for Vector White Noise Using Maximum Cross Correlations — Jinyuan Chang, University of Melbourne ; Qiwei Yao, London School of Economics ; Wen Zhou, Colorado State University
9:35 AM	Tuning-free heterogeneity pursuit in massive networks — Zhao Ren, University of Pittsburgh ; Yongjian Kang, University of Southern California ; Yingying Fan, University of Southern California ; Jinchi Lv, University of Southern California
9:55 AM	A Neighborhood-Assisted Test for High-Dimensional Mean Vector — Yumou Qiu, University of Nebraska - Lincoln
10:15 AM	Floor Discussion

331 !	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W183a
Robust Variable Selection Approaches in a Large Model Space — Invited Papers
Section on Statistical Computing , Royal Statistical Society
Organizer(s): Terrance Savitsky, Bureau of Labor Statistics
Chair(s): Terrance Savitsky, Bureau of Labor Statistics
10:35 AM	Particle EM for Variable Selection — Veronika Rockova, The Wharton School
11:05 AM	Hypothesis Testing in High Dimensions with the Lasso — Ali Shojaie, University of Washington ; Sen Zhao, University of Washington
11:35 AM	Robust Variable Selection with Two-Piece Distributions — David Rossell, University of Warwick ; Francisco Javier Rubio, University of Warwick
12:05 PM	Floor Discussion

358 * !	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W186a
Applications of Statistical Computing — Contributed Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts
Chair(s): Milan Bimali, University of Kansas School of Medicine
10:35 AM	Statistical Analysis of Land Cover of South Dakota — Mitra Devkota, Shawnee State University ; Gary Hatfield, South Dakota State University ; Saroj Thapa, South Dakota State University
10:50 AM	Computationally Efficient Question Selection in Adaptive Questionnaires — John Riddles, George Mason University ; James E. Gentle, George Mason University
11:05 AM	A More Practical Approach for the Benjamini-Hochberg FDR Controlling Procedure for Huge-Scale Testing Problems — Vered Madar, Statistical and Applied Mathematical Sciences Institute
11:20 AM	Semi-Supervised Bootstrap Methods — Bradley Ferguson, Quintiles ; Eric Laber, North Carolina State University ; Leonard Stefanski, North Carolina State University
11:35 AM	Adapting Heterogeneous Tissue Expression Analysis Method to RNA-Seq Data — Megan Stefanski, University of Missouri - Kansas City ; David Spade, University of Missouri - Kansas City
11:50 AM	Floor Discussion

389	Tue, 8/2/2016, 12:30 PM - 1:50 PM	CC-W375a
Section on Statistical Computing P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Computing
Organizer(s): Eric Laber, North Carolina State University
TL16:	Recent Developments in Machine Learning and Biomedicine — Michael R. Kosorok, The University of North Carolina at Chapel Hill
TL17:	Big Data, Computing, and Statistics — Lexin Li, University of California at Berkeley

427 !	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W179b
Markov Chain Monte Carlo Approaches in Statistical Computing — Contributed Papers
Section on Statistical Computing , International Society for Bayesian Analysis (ISBA) , Section on Bayesian Statistical Science
Chair(s): Michael Jadoo, Bureau of Labor Statistics
2:05 PM	MCMC Diagnostics Based on Kullback Leibler Divergence and Smoothing Methods — Anand Dixit, Iowa State University ; Vivekananda Roy, Iowa State University
2:20 PM	An Adaptive Exchange Algorithm for Sampling from Distribution with Doubly Intractable Normalizing Constants — Ick Hoon Jin, University of Notre Dame ; Faming Liang, University of Florida ; Qifan Song, Purdue University ; Jun S. Liu, Harvard
2:35 PM	Efficient Formation of Auxiliary Markov Chains for Computing the Distribution of the Number of Structured Motifs — Donald Martin, North Carolina State University
2:50 PM	A Repulsive-Attractive Metropolis Algorithm for Multimodality — Hyungsuk Tak, Harvard ; Xiao-Li Meng, Harvard ; David A. van Dyk, Imperial College London
3:05 PM	The Self-Multiset Sampler — Weihong Huang ; Yuguo Chen, University of Illinois at Urbana-Champaign ; Juan Shen, Fudan University
3:20 PM	Automatic Estimation of Sobol' Indices Based on Quasi-Monte Carlo Methods — Lluís Antoni Jiménez Rugama, Illinois Institute of Technology ; Laurent Gilquin, Université de Grenoble Alpes ; Clémentine Prieur, Université de Grenoble Alpes ; Elise Arnaud, Université de Grenoble Alpes ; Hervé Monod, Institut National de la Recherche Agronomique ; Fred Hickernell, Illinois Institute of Technology
3:35 PM	MCMC Algorithms for Bayesian Inference with Stochastic Differential Equations — Harish S. Bhat, University of California at Merced ; R. W. M. A. Madushani, University of California at Merced ; Shagun Rawat, University of California at Merced

468 !	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W196b
Uncertainty Estimation for Massive Data Sets — Invited Papers
Section on Statistical Computing , IMS , Royal Statistical Society
Organizer(s): Wendy Martinez, Bureau of Labor Statistics
Chair(s): David A. van Dyk, Imperial College London
8:35 AM	How to Ask Questions of Huge Data with Few Samples — David Dunson, Duke University
9:05 AM	Divide-and-Conquer and Statistical Inference — Michael I. Jordan, University of California at Berkeley
9:35 AM	A Variational Bayesian Analysis of Stochastic Gradient Methods — Matt D. Hoffman, Princeton
10:05 AM	Floor Discussion

475 * !	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W196c
Reproducibility in Statistics and Data Science — Invited Papers
Section on Statistics in Defense and National Security , Section on Statistical Computing , Caucus for Women in Statistics , Scientific and Public Affairs Advisory Committee
Organizer(s): Ben Baumer, Smith College
Chair(s): Ben Baumer, Smith College
8:35 AM	Reproducibility for All and Our Love/Hate Relationship with Spreadsheets — Jennifer Bryan, University of British Columbia
8:55 AM	Steps Toward Reproducible Research — Karl W. Broman, University of Wisconsin - Madison
9:15 AM	Enough with Trickle-Down Reproducibility: Scientists, Open This Gate! Scientists, Tear Down This Wall! — Karthik Ram, University of California at Berkeley
9:35 AM	Integrating Reproducibility into the Undergraduate Statistics Curriculum — Mine Cetinkaya-Rundel, Duke University
9:55 AM	Discussant: Yihui Xie, RStudio
10:15 AM	Floor Discussion

494 !	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W195
Optimization Problems in Statistical Computing — Contributed Papers
Section on Statistical Computing
Chair(s): Catherine Durso, University of Denver
8:35 AM	Statistical Learning Guided by Managerial Decision Making — Bo Li, Tsinghua University
8:50 AM	Pseudo-Proximal Map-Iterated Filtering — Dao Nguyen, University of Michigan
9:05 AM	Minimizing Sum of Truncated Convex Functions and Its Applications — Tzu-Ying Liu, University of Michigan ; Hui Jiang, University of Michigan
9:20 AM	Accelerated Schemes for a Class of Variational Inequalities — Yuyuan Ouyang ; Yunmei Chen, University of Florida ; Guanghui Lan, University of Florida
9:35 AM	On Optimal Quantile Regression — Mei Ling Huang, Brock University ; Christine Nguyen, Brock University
9:50 AM	Role of the Tuning Parameter in Model Selection Based on the Relative Quadratic Risk — Rositsa Dimova, FDA ; Marianthi Markatou, SUNY Buffalo ; Georgios Afendras, SUNY Buffalo
10:05 AM	Floor Discussion

526	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-W180
The 2016 Statistical Computing and Graphics Award Honors William S. Cleveland — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics
Organizer(s): Naomi B. Robbins, NBR, David A. van Dyk, Imperial College London
Chair(s): Naomi B. Robbins, NBR
10:35 AM	Bill Cleveland: Il Maestro of Statistical Graphics — Nicholas Fisher, University of Sydney
10:55 AM	Modern Crowd-Sourcing Validates Cleveland's 1984 Hierarchy of Graphical Elements — Dianne Cook, Monash University
11:15 AM	Some Reflections on Dynamic Graphics for Data Exploration — Luke-Jon Tierney, University of Iowa
11:35 AM	Carpe Datum! Bill Cleveland's Contributions to Data Science and Big Data Analysis — Steve Scott, Google Analytics
11:55 AM	Scaling Up Statistical Models to Hadoop Using Tessera — Jim Harner, West Virginia University
12:15 PM	Floor Discussion

540 !	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-W179b
Statistical Computing for Machine Learning — Contributed Papers
Section on Statistical Computing
Chair(s): Elizabeth Claassen, JMP Analytical Development
10:35 AM	Dimensionality Reduction for Clustering Data on a Unit Hypersphere with Application to Text Mining — Semhar Michael, South Dakota State University ; Volodymyr Melnykov, University of Alabama
10:50 AM	A New Approach to Visualizing and Clustering Mixed Categorical and Numeric Data — Samuel Buttrey, Naval Postgraduate School ; Lyn Whitaker, Naval Postgraduate School
11:05 AM	Information Based Clustering of Gene Expression Signatures in Primary Breast Carcinoma Patients — Milan Bimali, University of Kansas School of Medicine ; Michael Brimacombe, University of Kansas Medical Center
11:20 AM	On Safe Semi-Supervised Learning — Kenneth Ryan ; Mark Culp, West Virginia University
11:35 AM	Multiple Predicting Cross-Validation — Yoonsuh Jung, University of Waikato
11:50 AM	On Liu's Simplicial Depth and Randles' Interdirections — Yunfei Wang, The University of Texas at Dallas ; Robert Serfling, The University of Texas at Dallas
12:05 PM	Fully Bayesian Inference in Functional Principal Component Analysis for the Opioid Dependence Treatment Data — Jun Ye ; Yehua Li, Iowa State University ; Yongtao Guan, University of Miami

556	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-Hall F1 West
Contributed Poster Presentations: Section on Statistical Computing — Contributed Poster Presentations
Section on Statistical Computing
Chair(s): Genevera Allen, Rice University
28:	A Comparison of Repeated Measures ANOVA and Mixed-Effects Models in Analyzing Repeated Measures Data — Allison M. Butler, Intermountain Healthcare ; Gregory L. Snow, Intermountain Healthcare ; Bill McDermott, The Orthopedic Specialty Hospital ; Jeffrey Ferraro, Homer Warner Center for Informatics Research ; Kyle Hiroyasu, Homer Warner Center for Informatics Research
29:	A Simple Method for Assessing Occupational Exposure via the One-Way Random Effects Model — Jie Peng, St. Ambrose University ; Kalimuthu Krishnamoorthy, University of Louisiana at Lafayette ; Thomas Mathew, University of Maryland Baltimore County
30:	Exploring the Main Sources of Inefficiency of Software for Matrix Operations — Luis Frank, University of Buenos Aires ; Guillermo Frank, CONICET
31:	Lucid: An R Package for Pretty Printing Floating Point Numbers — Kevin Wright, DuPont Pioneer
32:	Parameter Estimation for the Modulated Extended Cumulative Exposure Model — Takenori Sakumura, Chuo University ; Toshinari Kamakura, Chuo University
33:	Properties of Adaptive Clinical Trial Signature Design in the Presence of Gene and Gene-Treatment Interaction — Alexander Cambon, University of Louisville ; Shesh N. Rai, University of Louisville ; Guy Brock, University of Louisville
34:	Coefficient of Variance Correction for Cluster-Randomized Trial Power Calculation Is Anticonservative — Fangzhou Liu, University of Massachusetts - Amherst ; Ken Kleinman, University of Massachusetts - Amherst
35:	Variable Selection and Direction Estimation for Single-Index Models via DC-TGDR Method — Xi Liu, Xiamen University ; Shuangge Ma, Yale University ; Wei Zhong, Xiamen University
36:	Estimation of Geometric Brownian Motion Model with T-Distribution-Based Particle Filter — Edesiri Nkemnole, University of Lagos ; Olaide Bridget Abass, University of Lagos
37:	Maximum Feasible Parameter Size for Moment Preserving Finitizations — Martin Levy, University of Cincinnati ; James J. Cochran, University of Alabama ; Saeed Golnabi, Optimum Office Solutions
38:	Application of Computer Vision and Machine Learning to Public Health Data Validation — Daniel Robertson, CDC ; Jin-Mann Lin, CDC
39:	On Fitting the Constrained Lasso — Brian R. Gaines, North Carolina State University ; Hua Zhou, University of California at Los Angeles
40:	Modeling Temporal Dependence to Improve Learning Algorithms for Streaming Data — Maggie Johnson, Iowa State University ; Petrutza Caragea, Iowa State University ; Lisa Bramer, Pacific Northwest National Laboratory ; Bryan Stanfill, Pacific Northwest National Laboratory ; Sarah Reehl, Pacific Northwest National Laboratory
41:	Fast Bayesian Variable Screenings for Binary Response Regressions — Sheng-Mao Chang, National Cheng Kung University
42:	A Scalable Algorithm and R Package to Measure the Impact of Nonignorable Missing Data — Weihua Gao, University of Illinois at Chicago ; Baodong Xing, University of Illinois at Chicago ; Donald Hedeker, The University of Chicago ; Robin J. Mermelstein, University of Illinois at Chicago ; Hui Xie, University of Illinois at Chicago
43:	A Parametric Approach for Analyzing Heteroscedastic Regression Models with Non-Normally Distributed Residuals — Fassil Nebebe, Concordia University ; Tak Kwan Mak, Concordia University

567	Wed, 8/3/2016, 12:30 PM - 1:50 PM	CC-W375a
Section on Statistical Computing P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistical Computing
Organizer(s): Eric Laber, North Carolina State University
WL14:	Computational Challenges in Neuroimaging Data — Ana-Maria Staicu, North Carolina State University

581 !	Wed, 8/3/2016, 2:00 PM - 3:50 PM	CC-W180
Approaches for Text Analysis — Invited Papers
Section on Statistical Computing , Conference on Statistical Practice Steering Committee
Organizer(s): Wendy Martinez, Bureau of Labor Statistics
Chair(s): Xiaofei Susan Wang, Yale University
2:05 PM	Mining Text in R — David Marchette, Naval Surface Warfare Center
2:40 PM	Using Text Analytics to Extend Customer Behavior Analysis — Edward R. Jones, Texas A&M Statistical Services
3:15 PM	Floor Discussion

590 * !	Wed, 8/3/2016, 2:00 PM - 3:50 PM	CC-W190b
Computing for Nonlinear Methods with Large Data Sets — Invited Papers
Government Statistics Section , Section on Statistical Computing
Organizer(s): Adam Bloniarz, University of California at Berkeley
Chair(s): Adam Bloniarz, University of California at Berkeley
2:05 PM	Random Forests for High-Throughput Omics Data and Survival Endpoints: A Tour of the Horizon — Andreas Ziegler, University of Lübeck ; Marvin N. Wright, University of Lübeck ; Matthias Schmid, University of Bonn
2:30 PM	Supervised Neighborhoods for Distributed Nonparametric Regression — Ameet Talwalkar, University of California at Los Angeles
2:55 PM	Signal Recovery from Deep Scattering Representations — Joan Bruna, University of California at Berkeley
3:20 PM	Discussant: Sumanta Basu, University of California at Berkeley
3:40 PM	Floor Discussion

604 !	Wed, 8/3/2016, 2:00 PM - 3:50 PM	CC-W179b
Inferential Methods in Statistical Computing — Contributed Papers
Section on Statistical Computing
Chair(s): Wesley S. Burr, Health Canada
2:05 PM	A New Approach to Multiple Testing, Results and Applications — Nasrine Bendjilali, Rowan University ; Boualem Bendjilali, RVCC ; Wei-Min Huang, Lehigh University
2:20 PM	Three-Dimensional Contingency Tables, Measures of Association, and Correlation — Mian Adnan, Ball State University ; Shannon Charlene Crouch, Ball State University ; Khairul Islam, Texas A&M University - Kingsville ; Judy Qiong Zhu, Apple
2:35 PM	A New Class of Measures for Independence Test with Its Application in Big Data — Qingcong Yuan, University of Kentucky ; Xiangrong Yin, University of Kentucky
2:50 PM	The Statistical Power of One-Sample Location Hypothesis Tests — Timothy Hall, PQI Consulting
3:05 PM	A Missing Technique for Estimating Missing Values — Silvia Sharna, Ball State University ; Mian Adnan, Ball State University ; Rahmatullah Imon, Ball State University
3:20 PM	Quick Multiple Monte Carlo Testing — Georg Hahn, Imperial College London ; Axel Gandy, Imperial College London
3:35 PM	Floor Discussion

632 *	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W181a
Julia for Modern Statistical Computing — Invited Papers
Section on Statistical Computing
Organizer(s): Hua Zhou, University of California at Los Angeles
Chair(s): Hua Zhou, University of California at Los Angeles
8:35 AM	Online Algorithms for Statistical Learning — Josh Day, North Carolina State University
8:55 AM	What Julia Can and Can't Already Offer Statisticians — John Myles White, Facebook
9:15 AM	Julia for Data Analysis: Features, Interfaces, and Future Directions — Simon Byrne, Julia Computing ; Stefan Karpinski, Julia Computing
9:35 AM	Linguistic Relativity and Programming Languages — Jiahao Chen, MIT ; Andreas Noack, MIT ; Jake Bolewski, MIT ; Alan Edelman, MIT
9:55 AM	Discussant: Douglas Bates, University of Wisconsin
10:15 AM	Floor Discussion

634 * !	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W179a
Analysis, Storage, and Privacy for Big Data — Invited Papers
Section on Statistics in Defense and National Security , Section on Statistical Computing
Organizer(s): Joanne Wendelberger, Los Alamos National Laboratory
Chair(s): Joanne Wendelberger, Los Alamos National Laboratory
8:35 AM	Distributed Data Analysis at Scale — Tom Peterka, Argonne National Lab
9:10 AM	Storage Issues and Assessment Arising from Large-Scale Simulations — Emily Casleton, Los Alamos National Laboratory ; Joanne Wendelberger, Los Alamos National Laboratory ; Jonathan Woodring, Los Alamos National Laboratory
9:45 AM	Differentially Private Data Synthesis Partitioning for Big Data — Claire McKay Bowen, University of Notre Dame ; Fang Liu, University of Notre Dame

651 !	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W181b
Advances in Sampling and Estimation — Contributed Papers
Section on Statistical Computing
Chair(s): Tom M. Logan, University of Michigan
8:35 AM	Adaptive (Quasi-) Monte Carlo Methods — Fred Hickernell, Illinois Institute of Technology ; Lan Jiang, Illinois Institute of Technology ; Lluís Antoni Jiménez Rugama, Illinois Institute of Technology
8:50 AM	Simulating the Heston Model via the QE Method with a Specified Error Tolerance — Xiaoyang Zhao, Illinois Institute of Technology ; Fred Hickernell, Illinois Institute of Technology
9:05 AM	Simplified Tools for Sample Size Determination for Correlation Coefficient Inference — Stephen W. Looney, Augusta University ; Justine May, Augusta University ; Jessica McKinney Ketchum, Craig Hospital
9:20 AM	Estimating the Coefficient of Variation for Some Competing Acceleratory Life-Testing Models — Debaraj Sen, Concordia University ; Krishna Saha, Central Connecticut State University ; Sun Dong, Concordia University
9:35 AM	Guaranteed Adaptive Quasi-Monte Carlo Methods with Control Variates — Da Li, Illinois Institute of Technology ; Fred Hickernell, Illinois Institute of Technology
9:50 AM	Accuracy Analysis of Unbiased Estimations for Fisher Information in the Scalar Case — Shenghan Guo, The Johns Hopkins University ; James C. Spall, The Johns Hopkins University
10:05 AM	Uniform- and Triangular-Based Third-Order Power Method Distributions Using a Doubling Technique — Mohan Dev Pant, The University of Texas at Arlington ; Todd Christopher Headrick, Southern Illinois University Carbondale

679 * !	Thu, 8/4/2016, 10:30 AM - 12:20 PM	CC-W182
Topics in Modern Multivariate Analysis: Some Recent Results — Topic Contributed Papers
Royal Statistical Society , Section on Statistical Computing , Conference on Statistical Practice Steering Committee
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
10:35 AM	Approximations to Permutation Tests of Independence Between Random Vectors — Martin Bilodeau ; Aurelien Guetsop, Université de Montréal
10:55 AM	Robust Semiparametric Estimation with Missing Responses — Francesco Bravo
11:15 AM	Exact Subset Selection in Regression via Modern Optimization — Rahul Mazumder, MIT
11:35 AM	Discussant: David Scott
11:55 AM	Discussant: Jan Beran, University of Konstanz
11:35 AM	Floor Discussion

693 * !	Thu, 8/4/2016, 10:30 AM - 12:20 PM	CC-W176b
Computational Issues in Modeling — Contributed Papers
Section on Statistical Computing
Chair(s): Ningning Wang, Jackson State University
10:35 AM	Regularized Ordinal Logistic Regression via Coordinate Descent — Michael Wurm, University of Wisconsin - Madison ; Bret Hanlon, University of Wisconsin - Madison
10:50 AM	Analysis of Bivariate Zero-Inflated Count Data with Missing Responses — Miao Yang, Oregon State University ; Kalyan Das, Calcutta University ; Anandamayee Majumdar, Soochow University
11:05 AM	A Comparative Study of Penalized Least Squares and Frequentist Model Averaging — Sebastian Ankargren, Uppsala University ; Shaobo Jin, Uppsala University
11:20 AM	Toward Efficient MCMC Algorithms for Doubly Intractable Distributions — Jaewoo Park, Penn State University ; Murali Haran, Penn State University
11:35 AM	Space-Filling Exploratory Experimental Design — Kasturi Talapatra, North Carolina State University ; Eric Laber, North Carolina State University ; Leonard Stefanski, North Carolina State University
11:50 AM	Multilevel Quantile Regression Models for Complex Surveys — Jing Wang, St. Louis University ; John Fu, Saint Louis University
12:05 PM	Floor Discussion

JSM 2016 Online Program

Activity Details

ASA Meetings Department

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