JSM 2017 Online Program

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

Activity Details

7 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-317
New Developments in Predictive Modeling of High-Dimensional Data — Invited Papers
Council of Chapters , Section on Statistical Learning and Data Science , Statistics in Business Schools Interest Group
Organizer(s): Anthony J Babinec, AB Analytics
Chair(s): Anthony J Babinec, AB Analytics
2:05 PM	ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data — Jacqueline J Meulman, Leiden University
2:30 PM	Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data — Jay Magidson, Statistical innovations
2:55 PM	New Problem Settings for Predictive Modeling of High-Dimensional Data — Vladimir Cherkassky, University of Minnesota
3:20 PM	Discussant: Yunzhang Zhu, Ohio State University
3:45 PM	Floor Discussion

27 !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-324
Design, Implementation, and Impact of Different Approaches to Professional Development for Teachers of Statistics — Topic Contributed Panel
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Hollylynne Lee, NC State University
Chair(s): Christine Franklin, American Statistical Association
2:05 PM	Design, Implementation, and Impact of Different Approaches to Professional Development for Teachers of Statistics
Panelists:	Hollylynne Lee, NC State University Katherine T. Halvorsen, Smith College Victoria Weber, Meredith College Asli Mutlu, North Carolina State University Michael A. Posner, Villanova University
3:40 PM	Floor Discussion

49 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-331/332
Statistical Inference for Large-Scale Financial Data — Invited Papers
IMS , Business and Economic Statistics Section , Society for Risk Analysis , Statistics in Business Schools Interest Group
Organizer(s): Yingying Li, Hong Kong University of Science and Technology
Chair(s): Yingying Li, Hong Kong University of Science and Technology
4:05 PM	Robust High-Dimensional Volatility Matrix Estimation for High-Frequency Factor Model — Jianqing Fan, Princeton University ; Donggyu Kim, Princeton University
4:30 PM	Solve Financial Problems by Quantum Computing — Yazhen Wang, University of Wisconsin Madison
4:55 PM	Inference on Risk Premia Without a Fully Specified Factor Model — Dacheng Xiu, University of Chicago ; Stefano Giglio, University of Chicago
5:20 PM	Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present — Xinghua Zheng, HKUST ; Xinxin Yang, HKUST ; Jiaqi Chen, Harbin Institute of Technology ; Hua Li, Chang Chun University
5:45 PM	Floor Discussion

65 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-349
Building a New and Essential Statistics Toolbox for Challenges in Finance and Business Analytics — Topic Contributed Papers
Business and Economic Statistics Section , Section for Statistical Programmers and Analysts , Section on Risk Analysis , Statistics in Business Schools Interest Group
Organizer(s): Kai-Sheng Song , Department of Mathematics, University of North Texas
Chair(s): Ta-Hsin Li, IBM Watson Research Center
4:05 PM	On Corporate Bankruptcy Prediction — Yan Yu, University of Cincinnati ; Aidong Ding, Northeastern University ; Shaonan Tian, San Jose State University ; Hui Guo, University of Cincinnati
4:25 PM	Stochastic Tail Index Model for High Frequency Financial Data with Bayesian Analysis — Zhengjun Zhang, University of Wisconsin ; Guangyu Mao, Beijing Jiaotong University
4:45 PM	A Statistical Approach to Corporate Debt Structure — Kai-Sheng Song , Department of Mathematics, University of North Texas
5:05 PM	Firm-Specic Risk-Neutral Distributions: The Role of CDS Spreads — Mohammad Jahan-Parvar, Federal Reserve Board of Governors ; Sirio Aramonte, Federal Reserve Board ; Samuel Rosen , University of North Carolina, Kenan-Flagler Business School ; John Schindler, Federal Reserve Board
5:25 PM	Exploration of Innovating Business with Analytics — Mingfei Li, Bentley University
5:45 PM	Floor Discussion

78 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-350
Statistical Consulting Applications — Contributed Papers
Section on Statistical Consulting , Section for Statistical Programmers and Analysts , Statistics in Business Schools Interest Group
Chair(s): James Grady, University of Connecticut Health Center
4:05 PM	Statistical Consulting: How Many Specimens Per Patient Should We Have for Improved Accuracy of Prosthetic Joint Infection? — Jayawant Mandrekar, Mayo Clinic
4:20 PM	Disentangling Complex Multivariate Categorical Data — Ralph Turner
4:35 PM	Does the Story Behind Preference Change with Varying Mapping Techniques? — Jason Parcon, PepsiCo
4:50 PM	Managing the Response to Gas Leaks: a Case Study in Business Analytics — Samuel Woolford, Bentley University ; Charles Hadlock, Bentley University
5:05 PM	Statistical Modeling on Ingredients for Sugar Reduction — Shankang Qu, PepsiCo ; Patricia Delease, PepsiCo
5:20 PM	Exploratory Approaches for Determination of Important Physical Attributes of Cigarettes in the Yields of Tar, Nicotine and CO: a Case Study — Christopher Ellison, Food and Drug Administration ; Qian Li, Food and Drug Administration
5:35 PM	Predicting Crude Oil Price Using the Non-Stationary Extreme Value Modeling — Kumer Das, Lamar University ; Audrene Edwards, Lamar University

116 !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-318
The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships — Topic Contributed Panel
Section on Statistical Education , Section on Statistics in Sports , Statistics in Business Schools Interest Group
Organizer(s): Robert Carver, Stonehill College
Chair(s): Keith Ord, McDonough School of Business (MSB), Georgetown University
8:35 AM	The Essential Connections Between Industry and Statistics Education: Innovation, Technology, and Partnerships
Panelists:	Robert Carver, Stonehill College David Levine, Baruch College (CUNY) Mia Stephens, SAS Institute/ JMP Division Scott Toney, Daniels College of Business, Univ of Denver Billie Anderson, Ferris State University
10:10 AM	Floor Discussion

155 *	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-348
Advances in Discrete Choice Experimentation and Modeling — Topic Contributed Papers
Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Organizer(s): Jeffrey Dotson, Brigham Young University
Chair(s): Jeffrey Dotson, Brigham Young University
10:35 AM	Gremlins in the Data: Identifying the Information Content of Research Subjects — John Howell, Penn State University
10:55 AM	Studying Consumer Choices of Location in Public Environments — Tatiana Dyachenko, Georgetown University ; Simon Blanchart, Georgetown University ; Keri Kettle, University of Manitoba
11:15 AM	Task-Level Error Scale Modeling Using Tracking Data — Roger Bailey, Ohio State Univ
11:35 AM	An Alternative Method for Measuring Willingness-To-Pay Using Truncated Distributions of Heterogeneity — Adam Smith, The Ohio State University ; Dong Soo Kim, The Ohio State University ; Mingyu Joo, The Ohio State University
12:15 PM	Floor Discussion

173	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-309
Novel Approaches to Pedogogy — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Dalene K. Stangl, Duke University
10:35 AM	Visualizing Mean, Mean Deviation and Standard Deviation of a Continuous Random Variable — Mamunur Rashid, Mathematics Dept. at DePauw University ; Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis
10:50 AM	Bayes for Beginners: No Need to Hesitate — Jeffrey Witmer, Oberlin College
11:05 AM	Implementing Active Learning in an Undergraduate Statistics Classroom — Elizabeth Jennings McGuffey, United States Naval Academy
11:20 AM	Enhancing Instruction: Preparing Graduate Teaching Assistants for Active Learning — Jennifer Green, Montana State University ; Elizabeth Arnold, Montana State University
11:35 AM	Insights from Interviews with Statistics Educators — Allan Rossman, Cal Poly - San Luis Obispo
11:50 AM	Assessment of Impact of Using Learning Assistants in an Introductory Statistics Course — Jeff Kollath, Oregon State University
12:05 PM	Teaching Logistic Regression Using Ordinary Least Squares in Excel — Milo Schield, Augsburg College

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

213 !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-318
Training Statisticians to Be Effective Instructors — Invited Panel
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences , Section for Statistical Programmers and Analysts , Statistics in Business Schools Interest Group
Organizer(s): Jacqueline Milton, Boston University
Chair(s): Jacqueline Milton, Boston University
2:05 PM	Training Statisticians to Be Effective Instructors
Panelists:	Meghan Short, Boston University Jennifer Kaplan, University of Georgia Patricia Buchanan, Penn State University Paul Stephenson, Grand Valley State University Adam Loy, Lawrence University
3:40 PM	Floor Discussion

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

278	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-327
Statistical Programmers: New Brand of Leaders — Invited Panel
Section for Statistical Programmers and Analysts , Biopharmaceutical Section , Section on Statistical Consulting , Statistics in Business Schools Interest Group
Organizer(s): Vipin Arora, Eli Lilly and Company
Chair(s): Vipin Arora, Eli Lilly and Company
8:35 AM	Statistical Programmers - New Brand of Leaders
Panelists:	Nebiyou Bekele, Gilead Sciences Pandu Kulkarni, Eli Lilly and Company Paul Schuette, FDA CDER Jonathan Lisic, USDA/NASS Steven Kirby, Chiltren
10:10 AM	Floor Discussion

344	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-309
Technology in the Classroom — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Jack Follis, University of St Thomas
10:35 AM	Innovative Teaching Methods for Introductory Statistics Courses — Xiaohui Wang, University of Texas Rio Grande Valley
10:50 AM	Research Findings on Innovative Teaching Methods in Statistics Classes Using ALEKS — Cheng Li ; Xiaohui Wang, University of Texas Rio Grande Valley
11:05 AM	Improving Statistics Education Through Interactive Learning Tools — Philipp Burckhardt, Carnegie Mellon University ; Alexandra Chouldechova, Carnegie Mellon University
11:20 AM	A Collaboration with Four-Year Institution and Community College Faculty to Engage Students in Learning Statistics — Ginger Rowell, Middle Tennessee State University ; Lisa Green, Middle Tennessee State University ; Nancy McCormick, Middle Tennessee State University ; Scott McDaniel, Middle Tennessee State University ; Jeremy Strayer, Middle Tennessee State University ; Marilee Gorta, Columbia State Community College ; Lori Giles, Columbia State Community College ; James Smith, Columbia State Community College ; Michael Darrell, Columbia State Community College
11:35 AM	Evaluating Change in Learning from Different Forms of Interactive Visualizations with a Large Case Study. — Lata Kodali ; Peter Hauck , Virginia Tech, Discovery Analytics Center ; Michelle Dowling, Virginia Tech, Department of Computer Science ; Leanna House, Virginia Tech, Department of Statistics ; Scotland Leman, Virginia Tech ; Chris North, Virginia Tech, Department of Computer Science
11:50 AM	Current Use of Online and Flipped Pedagogy in Statistics and Biostatistics Courses — Todd Schwartz, University of North Carolina at Chapel Hill ; Jane Monaco, University of North Carolina School of Public Health
12:05 PM	Scrum for Students: Increasing Productivity and Mastery in Statistics with an Agile Process — Ellen Endriss, Career Center

397 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-313
Modernizing the Statistical Collaboration Course — Topic Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Amy S Nowacki, Cleveland Clinic
Chair(s): Ann Brearley, University of Minnesota
2:05 PM	Developing Collaborative Biostatisticians: Courses and Content for a Modern Program — Miranda Kroehl, Colorado School of Public Health ; Nichole Carlson, University of Colorado Denver ; Gary Grunwald, Colorado School of Public Health
2:25 PM	Teaching Statistical Collaboration Classes in Sequence — Dandan Liu, Vanderbilt University ; Mario Davidson, Vanderbilt University
2:45 PM	Statistical Collaboration: Experiential and Case Study Based Teaching Approaches — Trupti Trivedi, Drexel University/Adaptimmune LLC
3:05 PM	Videos for Simulating the Statistical Collaborative Experience — Amy S Nowacki, Cleveland Clinic
3:25 PM	Using Videos for Teaching and Assessing Collaborative Skills — Kristen McQuerry, University of Kentucky ; Amy S Nowacki, Cleveland Clinic
3:45 PM	Floor Discussion

416	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-321
A Tour of Statistical Innovations in Marketing Research — Contributed Papers
Section on Statistics in Marketing , Quality and Productivity Section , Statistics in Business Schools Interest Group
Chair(s): John Howell, Penn State University
2:05 PM	Explaining Preference Heterogeneity with Mixed Membership Modeling — Marc Dotson, Brigham Young University
2:20 PM	MaxDiff Adjusted to Items Non-Availability and Network Effects — Stan Lipovetsky, GfK North America ; Michael W. Conklin, GfK North America
2:35 PM	Predicting Market Segment Membership Using Deep Learning — Lynd Bacon, LBA Ltd. \| Northwestern Univ. \| Notre Dame Univ.
2:50 PM	An IAB Taxonomy-Based Classifier for Categorizing High Volume Noisy Data of User Generated URLs — Zainab Jamal, Guavus Inc ; Peng Wang, Guavus ; Roger Brooks, Guavus ; Prateek Jain, Guavus ; Mudit Jain, Guavus ; Kuldeep Jiwani, Guavus ; Karun Arora, Guavus ; Nisha Vashist, Guavus ; Sahil Jain, Guavus ; Shipra Kapadia, Guavus
3:05 PM	Understanding the Differences in Regulatory Tax Sampling and Estimation Methodologies by Federal and State Jurisdictions — Roger Carl Pfaffenberger, Ryan LLC ; Zac Rhyne, Ryan LLC
3:20 PM	SPC Charts for Monitoring Interpersonal Networks — Marcus Perry, University of Alabama ; Curry Hilton, University of Alabama
3:35 PM	Causal Models for Numerical Variables in Media Planning — Igor Mandel, Telmar Inc.

214791	Tue, 8/1/2017, 4:00 PM - 5:30 PM	H-Key Ballroom 2
Statistics in Business Schools Interest Group Business Meeting — Other Cmte/Business
Statistics in Business Schools Interest Group
Chair(s): Amy Phelps, Duquesne University

448 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-336
The Essential Role of Statistics in Modeling Complex Data in Business and Economics — Invited Papers
Section on Statistics in Marketing , Business and Economic Statistics Section , International Chinese Statistical Association , Statistics in Business Schools Interest Group
Organizer(s): Wenjiang Fu, University of Houston
Chair(s): Xiaotong T Shen, University of Minnesota
8:35 AM	Spectral Methods Meet EM: a Provably Optimal Algorithm for Crowdsourcing — Xi Chen, NYU
9:00 AM	Modeling Smart WiFi Tracking Data and Customer Purchase Conversion — Jason Duan, University of Texas at Austin
9:25 AM	Trend of the US Family Income and Assets - a Bumpy Ride Around the Millennium — Wenjiang Fu, University of Houston
9:50 AM	Betting on Low Volatility — Zhaogang Song, Johns Hopkins University ; Lai Xu, Syracuse Univeristy ; Nicola Fusari, Johns Hopkins University
10:15 AM	Floor Discussion

476	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-341
Teaching Introductory Statistics — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Suhwon Lee, University of Missouri
8:35 AM	Incorporating Open Portal Data into Courses in Statistics — Roberto Rivera, University of Puerto Rico Mayaguez ; Mario Marazzi, Puerto Rico Institute of Statistics ; Pedro Torres, University of Puerto Rico Mayaguez
8:50 AM	The Influence of Undergraduate Statistics and Statistics Anxiety on Graduate Statistics Success — Michael DeDonno, Florida Atlantic University
9:05 AM	Using Election Polls to Teach the Analysis of Trends — T. Ceesay, Merck & Co, Inc.
9:20 AM	Working Backwards: A New Approach to Teaching Introductory Statistics — Teresa Dalton, University of California, Irvine
9:35 AM	Introductory Statistics Students' Conceptual Understanding of Study Design and Conclusions — Elizabeth Fry, University of Minnesota
9:50 AM	Writing Assignments for Statistics — Brad Luen
10:05 AM	Students' Conceptions and Misconceptions in Judging Variability in Various Graph Types That Use Bars — Linda Cooper, Towson University

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

524	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-Halls A&B
Contributed Poster Presentations: Section on Statistics in Marketing — Contributed Poster Presentations
Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Chair(s): Jessi Cisewski, Yale University
44:	A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships — Wenyi Wu, University of Michigan ; Peter Lenk, University of Michigan
45:	Clustering Methods for Ordered Categorical Data with Response Style — Mariko Takagishi, Graduate School of Culture and Information Science, Doshisha University ; Michel van de Velden, Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam ; Hiroshi Yadohisa, Department of Culture and Information Science, Doshisha University

575 !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-318
Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics — Topic Contributed Panel
Statistics in Business Schools Interest Group , Section on Statistical Education , Business and Economic Statistics Section
Organizer(s): Amy Phelps, Duquesne University
Chair(s): Robert Carver, Stonehill College
2:05 PM	Modernizing the Statistics Curriculum for Non-Statistics Majors to Meet the Demands of Data Science and Analytics
Panelists:	Dick DeVeaux, Williams College Robert Stine, University of Pennsylvania Gareth James, University of Southern California James Cochran, University of Alabama Kellie Keeling, Daniels College of Business, University of Denver
3:40 PM	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

629	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-326
Advanced Topics in Statistics Education — Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Chair(s): Darcie Delzell, Wheaton College
8:35 AM	The Kumaraswamy Transmuted Pareto Distribution — Sher Chhetri, Florida Atlantic University ; Alfred Akinsete, Marshall University ; Gokarna Aryal, Purdue University Northwest ; Hongwei Long, Florida Atlantic University
8:50 AM	The Impact of Laplace's "A Philosophical Essay on Probabilities" on the Teaching of Probability — Ilhan Izmirli, George Mason University
9:05 AM	Maximum Likelihood Estimation of the Mode of a Continuous Distribution (Without Grouping) — John Paul DeLong
9:20 AM	Can Unbiased Estimators Be Absurd? — Ahern Nelson ; Christopher Campbell, Metropolitan State University of Denver ; Jonathan Grant, Metropolitan State University of Denver
9:50 AM	Time Series Methodologies May Save Lives on Highways — Roya Amjadi, Federal Highway Administration
10:05 AM	The Simulation-Based, Standardized Z-Statistic: When and Why it Works — Yew-Meng Koh, Hope College

632 *	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-339
Using Big Data to Improve Official Economic Statistics — Invited Papers
Business and Economic Statistics Section , Government Statistics Section , Survey Research Methods Section , Statistics in Business Schools Interest Group
Organizer(s): Carma R Hogue, U.S. Census Bureau
Chair(s): Carma R Hogue, U.S. Census Bureau
10:35 AM	Using Passive Data Collection, System-to-System Data Collection, and Machine Learning to Improve Economic Surveys — Brian Arthur Dumbacher, U.S. Census Bureau ; Demetria Hanna, U.S. Census Bureau
10:55 AM	Using Big Data to Enhance US Census Bureau Economic Data Products — Rebecca Hutchinson, US Census Bureau ; Scott Scheleur, US Census Bureau
11:15 AM	Improving Regional Personal Consumption Expenditure Estimates Using Credit Card Transaction Data — Abe Dunn, Bureau of Economic Analysis ; Ledia Guci, Bureau of Economic Analysis ; Mahsa Gholizadeh, Bureau of Economic Analysis ; Bryn Whitmire, Bureau of Economic Analysis
11:35 AM	Discussant: Frauke Kreuter, University of Maryland
11:55 AM	Discussant: Wendy Dunn, Federal Reserve Board
12:15 PM	Floor Discussion

654 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-327
Teaching Introductory Statistics Using Simulation-Based Inference Methods — Topic Contributed Papers
Section on Statistical Education , Statistics in Business Schools Interest Group
Organizer(s): Whitney Alicia Zimmerman, The Pennsylvania State University
Chair(s): James L Rosenberger, The Pennsylvania State University
10:35 AM	Integrating Randomization Methods in the Introductory Statistics Course — Paul Velleman, Cornell University
10:55 AM	Pilot of a Simulation-Based Inference (SBI) Approach in an Online Undergraduate-Level Introductory Statistics Course — Whitney Alicia Zimmerman, The Pennsylvania State University ; Mengzhao Gao, The Pennsylvania State University ; Glenn Johnson, The Pennsylvania State University ; Daniel Adam Spencer, University of California, Santa Cruz ; Daisy Philtron, The Pennsylvania State University
11:15 AM	Teaching Students to Test Robustness via Simulation — Cassandra Pattanayak, Wellesley College
11:35 AM	Graduate Students Teaching Simulation-Based Inference — Laura Ziegler
11:55 AM	Pedagogical Considerations for Simulation-Based Inference in a Large-Enrollment Introductory Biostatistics Course — Matthew Beckman, Penn State University ; Kari Lock Morgan, Penn State University
12:15 PM	Floor Discussion

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