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

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

Activity Details

29	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-502
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 1 — Contributed Speed
Survey Research Methods Section, Transportation Statistics Interest Group, Quality and Productivity Section, Business and Economic Statistics Section, IMS
Chair(s): Georgiy Bobashev, Research Triangle Institute
Poster Presentations for this session.
2:05 PM	Frame Development and Sample Design for the 2018 National Survey of Children's Health Presentation Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
2:10 PM	A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys Presentation Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
2:15 PM	A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units Presentation Padraic Murphy, U.S. Census Bureau
2:20 PM	Statistical Data Integration and Inference via Multilevel Regression and Poststratification Presentation Yajuan Si, University of Michigan
2:30 PM	Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems Daniel Graham, Imperial College London
2:35 PM	The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis Presentation Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
2:40 PM	Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
2:45 PM	Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment Presentation Richard Windle, Federal Reserve Board
2:50 PM	Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations Presentation Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
3:00 PM	Bayesian Uncertainty Estimation Under Complex Sampling Presentation Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
3:05 PM	How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
3:15 PM	Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors Presentation Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
3:20 PM	Use of Matching Algorithms to Determine Unit Eligibility Presentation 1 Presentation 2 Brandon Hopkins, RTI International; Kimberly Ault, RTI International
3:25 PM	DOE Optimization of Managing Trip in Europe Presentation 1 Presentation 2 Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
3:30 PM	Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation Presentation David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics
3:35 PM	Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm Presentation Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
3:40 PM	Two-Step Estimation for Time Varying ARCH Models Presentation Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
3:45 PM	Floor Discussion

51 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-210/212
Making Sense of Discrete Data: Challenges, Inferences and Applications — Invited Papers
Social Statistics Section, Business and Economic Statistics Section, Section on Statistics in Marketing
Organizer(s): Dungang Liu, University of Cincinnati
Chair(s): Chris Wild, University of Auckland
4:05 PM	Clustering Language Features: Scaling up from Micro to Macro Variation Presentation Ivy Liu, Victoria University of Wellington; Richard Arnold, Victoria University of Wellington; Miriam Meyerhoff, Victoria University of Wellington; Shirley Pledger, Victoria University of Wellington; Lingyu Li, Victoria University of Wellington
4:35 PM	Assessing Partial Association Between Ordinal Variables: A General Framework Dungang Liu, University of Cincinnati; Shaobo Li, University of Kansas; Yan Yu, University of Cincinnati
5:05 PM	Mediation Analysis via Copula Structural Equation Models for Variables of Mixed Types Peter X.K. Song , School of Public Health, University of Michigan ; Wei Hao, University of Michigan
5:35 PM	Floor Discussion

56 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-505
Modern Methods for Structured and Dynamically Dependent Data — Invited Papers
Business and Economic Statistics Section, JBES-Journal of Business & Economic Statistics, Business Analytics/Statistics Education Interest Group
Organizer(s): Daniel R Kowal, Rice University
Chair(s): Daniel R Kowal, Rice University
4:25 PM	Introducing the Mean Locally Stationary Wavelet Process and Its Application to Business Data Presentation Rebecca Killick, Lancaster University, UK; Euan McGonigle, Lancaster University; Matthew Nunes, University of Bath
4:45 PM	Spectral analysis of a class of high-dimensional linear processes Debashis Paul, University of California, Davis
5:05 PM	Autoregressive Models for Large Matrix Series Han Xiao, Rutgers University
5:25 PM	Discussant: Katherine Ensor, Rice University
5:45 PM	Floor Discussion

63 *	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-113
Cryptocurrency Surveys: Challenges and Results from Central Banks — Topic Contributed Papers
Survey Research Methods Section, Business and Economic Statistics Section, Government Statistics Section
Organizer(s): Kevin M. Foster, Federal Reserve Bank of Atlanta
Chair(s): Marcin M. Hitczenko, Federal Reserve Bank of Atlanta
4:05 PM	Measuring Consumer Cryptocurrency Adoption and Use in the United States Presentation Kevin M. Foster, Federal Reserve Bank of Atlanta
4:25 PM	Ownership and Purchase Intention of Crypto-Assets – Results from an Austrian Survey Helmut Stix, Oesterreichische Nationalbank
4:45 PM	Economic Networks with Incentives: The Mobile Money Case in Ecuador Ivan Rivadeneyra, University of Hawaii - Manoa; Daniel Suthers, University of Hawaii - Manoa; Ruben Juarez, University of Hawaii - Manoa
5:05 PM	Bubbles in My Bitcoin: Results from the 2018 Bitcoin Omnibus Survey Presentation Gradon Nicholls, Bank of Canada; Christopher Henry, Bank of Canada; Kim Huynh, Bank of Canada; Mitchell Nicholson, Bank of Canada
5:25 PM	Discussant: Kim Huynh, Bank of Canada
5:45 PM	Floor Discussion

74	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-507
Statistical Methods and Applications: Domestic and International — Contributed Papers
Business and Economic Statistics Section
Chair(s): Emily Lei Kang, University of Cincinnati
4:05 PM	Impacting Policy by Estimating Causal Links Presentation Hrishikesh Vinod, Fordham University, NY
4:20 PM	Asymptotically Unbiased Inference for a Panel VAR Model with P Lags Presentation Luis Melo, Banco De La Republica; Juan Sebastian Cubillos, Banco de la Republica
4:35 PM	Nonparametric Estimation and Testing for Positively Quadrant Dependent Copula Lu Lu, North Carolina State University; Sujit Ghosh, North Carolina State Univ.
4:50 PM	Postwar Railroad Productivity Measurement: Refining the Statistical Analysis Presentation Robert Reynolds, Brattle Group; Sarah Wolfolds, Cornell University
5:05 PM	ANALYSIS of TRENDS and DETERMINANTS of MORTALITY in the KINGDOM of SAUDI ARABIA Presentation Ashraf Ahmed, Morgan State University-Institute for Urban Research; Samar Al Abbas, Morgan State University
5:20 PM	On the Use of Incomplete Moments for Measuring Income Inequalities Presentation Sayed A Mostafa, North Carolina A&T State University; Ibrahim A Ahmad, Oklahoma State University
5:35 PM	Floor Discussion

89	Sun, 7/28/2019, 5:05 PM - 5:50 PM	CC-Hall C
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 2 — Contributed Poster Presentations
Survey Research Methods Section, Transportation Statistics Interest Group, Quality and Productivity Section, Business and Economic Statistics Section, IMS
Chair(s): Georgiy Bobashev, Research Triangle Institute
Oral Presentations for this session.
20:	Frame Development and Sample Design for the 2018 National Survey of Children's Health Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
21:	A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
22:	A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units Padraic Murphy, U.S. Census Bureau
23:	Statistical Data Integration and Inference via Multilevel Regression and Poststratification Yajuan Si, University of Michigan
25:	Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems Daniel Graham, Imperial College London
26:	The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
27:	Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
28:	Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment Richard Windle, Federal Reserve Board
29:	Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
30:	Bayesian Uncertainty Estimation Under Complex Sampling Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
31:	How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
33:	Use of Matching Algorithms to Determine Unit Eligibility Brandon Hopkins, RTI International; Kimberly Ault, RTI International
34:	Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
35:	Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics
36:	DOE Optimization of Managing Trip in Europe Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
37:	Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
38:	Two-Step Estimation for Time Varying ARCH Models Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
Oral Presentations for this session.

106 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-705
Administrative Income Data, Survey Data and Inequality — Invited Papers
Business and Economic Statistics Section, Government Statistics Section, Survey Research Methods Section
Organizer(s): Bruce D Meyer, University of Chicago
Chair(s): Marina Gindelsky, Bureau of Economic Analysis
8:35 AM	Using Survey and Tax Data to Evaluate the Distribution of Personal Income Presentation David S. Johnson, University of Michigan; Marina Gindelsky, Bureau of Economic Analysis; Dennis Fixler, Bureau of Economic Analysis
9:00 AM	Evaluating the Success of President Johnson’s War on Poverty: Revisiting the Historical Record Using a Full-Income Poverty Measure Richard Burkhauser, Council of Economic Advisers; Kevin Corinth, Council of Economic Advisers; James Elwell, Cornell University; Jeff Larrimore, Federal Reserve Board
9:25 AM	Estimating the Extent of Individual Income Tax Filing Noncompliance Presentation Alan H Plumley, Internal Revenue Service; Patrck Langetieg, Internal Revenue Service; Mark Payne, Internal Revenue Service
9:50 AM	New Estimates of Poverty from the Comprehensive Income Data Set Presentation Bruce D Meyer, University of Chicago; Derek Wu, University of Chicago
10:15 AM	Floor Discussion

110 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-605
Data in the 21st Century: Corporate and Non-Profit Decision Making in the Digital Age — Invited Papers
Business Analytics/Statistics Education Interest Group, Section on Statistics and Data Science Education, Business and Economic Statistics Section
Organizer(s): Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
Chair(s): Jennifer Lewis Priestley, Kennesaw State University
8:35 AM	From Statistics to Artificial Intelligence: The Evolution of Data Science Presentation Robert J McGrath, University of New Hampshire
8:50 AM	New Statistical Approaches to Financial Time Dependent Information Doo Young Kim, Sam Houston State University
9:05 AM	New Approaches to Old Problems: Interdisciplinary Approaches to Fighting Cancer in the 21st Century Ke Meng, UNC Chapel Hill
9:20 AM	21st Century Equity Markets: Evaluating, Assimilating, and Inte- Grating Information in Real-Time Presentation Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
9:35 AM	Crafting Manifolds: Application Lifecycle Analysis in a Mobile World Presentation Julius D'souza, Google
9:50 AM	Data in the 21st Century: Corporate and Non-Prot Decision Making in the Digital Age Ryan Kania, Advocates for World Health
10:05 AM	Floor Discussion

124 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-503
Implementing the 2018 Standard Occupational Classification System in the Federal Statistical System — Topic Contributed Panel
Social Statistics Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Lynda Laughlin, U.S. Census Bureau
Chair(s): Heide Jackson, U.S. Census Bureau
8:35 AM	Implementing the 2018 Standard Occupational Classification System in the Federal Statistical System Presentation 1 Presentation 2 Presentation 3
Panelists:	Lynda Laughlin, U.S. Census Bureau Laurie Salmon, Bureau of Labor Statistics Kerrie Leslie Stella Fayer, Bureau of Labor Statistics
10:10 AM	Floor Discussion

153 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-101
Developing Multi-Purpose Imputed or Synthetic Data for Official Statistics — Invited Papers
Government Statistics Section, Survey Research Methods Section, Business and Economic Statistics Section
Organizer(s): Katherine J Thompson, U.S. Census Bureau
Chair(s): Demetra Lytras, U.S. Census Bureau
10:35 AM	Finding a Flexible Hot Deck Imputation Method for Multinomial Data Presentation Rebecca Andridge, The Ohio State University College of Public Health; Laura Bechtel, U.S. Census Bureau; Katherine J Thompson, U.S. Census Bureau
10:55 AM	Calibrated Imputation Under Edit Restrictions Presentation Ton De Waal, Statistics Netherlands; Jacco Daalmans, Statistics Netherlands
11:15 AM	MLDS Synthetic Data Project: An Evaulation Presentation Mark Lachowicz, University of Maryland, College Park; Daniel Bonnery, University of Maryland and Maryland Longitudinal Data System Center ; Yi Feng, University of Maryland, College Park; Angela Henneberger, University of Maryland, Baltimore; Tessa Johnson, University of Maryland, College Park; Bess Rose, University of Maryland, Baltimore; Terry Shaw, University of Maryland, Baltimore; Laura Stapleton, University of Maryland, College Park; Michael Woolley, University of Maryland, Baltimore; Yating Zheng, University of Maryland, College Park
11:35 AM	Developing Synthetic Data from the Economic Census Under Edit and Calibration Restrictions Presentation Katherine J Thompson, U.S. Census Bureau; Hang Joon Kim, University of Cincinnati
11:55 AM	Discussant: Jeffrey Gonzalez, Bureau of Labor Statistics
12:15 PM	Floor Discussion

163 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-708
Methods for Complex Data: The Next Generation — Topic Contributed Papers
Business and Economic Statistics Section, Section on Statistical Learning and Data Science, Business Analytics/Statistics Education Interest Group, IMS
Organizer(s): David Matteson, Cornell University
Chair(s): Ines Wilms, Maastricht University
10:35 AM	Structured Shrinkage Priors Presentation Maryclare Griffin, Cornell University Center for Applied Mathematics; Peter Hoff, Duke University
10:55 AM	High-Dimensional Causal Discovery with Non-Gaussian Data Presentation Y. Samuel Wang, University of Chicago; Mathias Drton, University of Washington
11:15 AM	Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis Presentation Sven Serneels, Aspen Technology
11:35 AM	Learning Local Dependence in Ordered Data Guo Yu, University of Washington; Jacob Bien, University of Southern California
11:55 AM	Sequential Change-Point Detection for High-Dimensional and Non-Euclidean Data Lynna Chu, University of California, Davis; Hao Chen, University of California, Davis
12:15 PM	Floor Discussion

241	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-113
Estimation Challenges and New Approaches — Contributed Papers
Business and Economic Statistics Section
Chair(s): Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
2:05 PM	On Post Dimension Reduction Statistical Inference Kyongwon Kim, The Pennsylvania State University
2:20 PM	Randomized Algorithms of Maximum Likelihood Estimation with Spatial Autoregressive Models for Large-Scale Networks Presentation Miaoqi Li, University of Cincinnati; Emily Lei Kang, University of Cincinnati
2:35 PM	Forecast Combination Using High-Dimensional Precision Matrix Tae-Hwy Lee, Univ of California, Riverside; Yi Millie Mao, University of California, Riverside; Aman Ullah, University of California, Riverside
2:50 PM	Bayesian Estimation and Testing for Constrained Multivariate Functions Presentation Thomas Shively, Univ of Texas at Austin
3:05 PM	Gaussian Process Mixtures for Estimating Heterogeneous Treatment Effects Presentation Abbas Zaidi, Duke University - Statistics
3:20 PM	Helping Effects Against the Curse of Dimensionality in Threshold Factor Models for High-Dimensional Matrix Time Series Presentation Xialu Liu, San Diego State University; YI CHEN, Princeton University
3:35 PM	A Least Deviation Estimation Approach for Time Series Models Presentation Silvey Shamsi; Mian Adnan, Indiana University

218834	Mon, 7/29/2019, 6:00 PM - 7:30 PM	H-Sandstone Boardroom
Business and Economic Statistics Section Executive Council Meeting — Other Cmte/Business
Business and Economic Statistics Section
Chair(s): Peter Zadrozny, Bureau of Labor Statistics

274 !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-201
Macroeconomic Forecasting and Policy in Data Rich Digital Age Environments — Invited Papers
Business and Economic Statistics Section, Section on Risk Analysis, Section on Statistical Learning and Data Science
Organizer(s): Arnab Bhattacharjee, Heriot-Watt University
Chair(s): Liqian Cai, Liberty Mutual
8:35 AM	Some High-Diemnesional Techniques for Analyzing Spatial and Other Complex Economic Data Taps Maiti, Michigan State University
8:55 AM	Prediction and Causal Inference Using Linear Regularized Regression with an Application to Commuting in Ireland Achim Ahrens, Economic and Social Research Institute; Christian B Hansen, University of Chicago Booth School of Business; Mark E Schaffer, Heriot-Watt University
9:15 AM	Financial Stress Scenario Development in a Data-Rich Environment - a Practitioner's View Xin Wang, HSBC/ IHS Markit
9:35 AM	Google Trends and the Macroeconomy: a Bayesian Mixed Frequency Approach Arnab Bhattacharjee, Heriot-Watt University; David Kohns, Heriot-Watt University
9:55 AM	Inference in High-Dimensional Models Without Regularization Ying Zhu, UC San Diego; Kaspar Wuthrich, UC San Diego
10:15 AM	Floor Discussion

320 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-703
Statistical Approaches for Modeling Social Unrests — Invited Papers
Section on Statistics in Defense and National Security, Social Statistics Section, Business and Economic Statistics Section
Organizer(s): Snigdhansu Chatterjee, University of Minnesota
Chair(s): Michael Baron, American University
10:35 AM	Predicting Anti-Government Violence in Mexico with Big Data on Citizen-Government Interactions Presentation Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota; Ujjal Kumar Mukherjee, University of Illinois
11:00 AM	Forecasting Political Instability Using Heterogeneous Data Streams Presentation Chrysm Watson Ross, Los Alamos National Laboratory ; Ashlynn Daughton, Los Alamos National Laboratory; Geoffrey Fairchild, Los Alamos National Laboratory ; Sara Del Valle, Los Alamos National Laboratory
11:25 AM	Model Fusion with Spatial Partitioning for Forecasting Civil Unrest Presentation Andrew Hoegh, Montana State University
11:50 AM	Predicting the Supply Chain Impact of National Level Conflicts: a Recursive Neural Network Based Approach Presentation Ujjal Kumar Mukherjee, University of Illinois; Benjamin E. Bagozzi, University of Delaware; Snigdhansu Chatterjee, University of Minnesota
12:15 PM	Floor Discussion

332 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-712
Multivariate Time Series: Modeling and Estimation — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, Biometrics Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): Anand Vidyashankar, George Mason University
10:35 AM	Applying the EM Algorithm to Multivariate Signal Extraction Presentation James Livsey, U.S. Census Bureau
10:55 AM	Dual Coupled Kalman Filters for Simultaneously Updating Estimated Time-Varying States and Parameters of VARMA Models Using Data with Periodically or Non-Periodically Missing Values Peter Zadrozny, Bureau of Labor Statistics
11:15 AM	Gaussian Copula Vector Autoregressive Modeling Vladas Pipiras, University of North Carolina At Chapel Hill; James Livsey, U.S. Census Bureau; Benjamin Leinwand, University of North Carolina at Chapel Hill
11:35 AM	Constrained Estimation in Co-Integrated VAR Models Presentation Anindya Roy, University of Maryland - Baltimore County; Tucker McElroy, US Census Bureau
12:15 PM	Floor Discussion

357	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Business and Economic Statistics Section — Contributed Poster Presentations
Business and Economic Statistics Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
48:	The Comparison of Multiple Imputation and Missing Indicator Methods for Prediction in Regression Analysis Chi-Hong Tseng, UCLA
49:	Time-Varying Copulas with Full-Range Dependence for Modeling Financial Data Jason Selbo; Su Jianxi, Purdue University
50:	Information Shocks in Agricultural Futures Markets yu Wu, University of Manitoba; Julieta Frank
51:	Mean Treatment Effect Inference in the Presence of Heavy-Tailed Data Luke Smith, Amazon
52:	Time Series Analysis of the Rate of the Inflation and Unemployment in Saudi Arabia for the Period (2000-2018) Amani Albaqshi
53:	Determinants of Corporate Bankruptcy: Identification and Uncertainty TIANHAI ZU, University of cincinnati; Yan Yu, University of Cincinnati; Yichen Qin, University of Cincinnati
54:	The Large-Sample, Small Disturbance and Asymptotic Conditions of Dominance of Efficient Shrinkage in Seemingly Unrelated Regression Equations (SURE) Ali Mehrabani

363	Tue, 7/30/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom F
Economic Outlook Luncheon (Added Fee) — Roundtables Speaker with Lunch
Business and Economic Statistics Section
TL07:	Productivity and Intangible Capital in a World of Disruptive Technologies Carol Corrado, The Conference Board

384 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-504
Artificial Intelligence Meets Behavioral Science: Innovations in Discovering and Leveraging Nudges — Invited Papers
Section on Statistics in Marketing, Business and Economic Statistics Section, Institute for Operations Research and the Management Sciences
Organizer(s): Ying Zhu, UC San Diego
Chair(s): Ying Zhu, UC San Diego
2:05 PM	Visual Listening In: Extracting Brand Image Portrayed on Social Media Liu Liu, University of Colorado Boulder - Leeds School of Business; Daria Dzyabura, New York University Stern School of Business; Natalie Mizik, University of Washington - Foster School of Business
2:20 PM	WITHDRAWN: Personalized Free Trials: Design and Evaluation Ebrahim Barzegary, University of Washington; Hema Yoganarasimhan, University of Washington; Abhishek Pani, Adobe Systems Incorporated
2:35 PM	How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility Presentation 1 Presentation 2 Allison Chaney, Duke University; Brandon Stewart, Princeton University; Barbara Engelhardt, Princeton University
2:50 PM	What Is a Good Explanation for Artificial Intelligence Decisions? a Human's Guide to Understanding Machine Learning Output Presentation Tong (Joy) Lu, Carnegie Mellon University; Dokyun Lee, Carnegie Mellon University; Taewan Kim, Carnegie Mellon University; David Danks, Carnegie Mellon University
3:05 PM	Harnessing the Small Victories: Empirical Evidence from a Calorie and Weight Loss Tracking Application Kosuke Uetake, Yale University ; Nathan Yang, McGill University
3:20 PM	Floor Discussion

395 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-702
Connecting Parallel Universes — Topic Contributed Papers
Survey Research Methods Section, Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Arthur B Kennickell, Self
Chair(s): Barry W Johnson, Statistics of Income, IRS
2:05 PM	HFCS Micro Simulation Model Presentation Miguel Ampudia, European Central Bank; Johannes Fleck, European Central Bank
2:25 PM	Are Survey Data Underestimating the Inequality of Net Wealth? Presentation Tairi Room, Bank of Estonia; Jaanika Merikull, Bank of Estonia
2:45 PM	Pooling (Data) Assets to Learn About Debts Brian Bucks, Consumer Financial Protection Bureau
3:05 PM	Labour Income Uncertainty During a Crisis Presentation Reamonn Lydon, Central Bank of Ireland; Julia Le Blanc, Deutsche Bundesbank
3:25 PM	Machine Learning European Household Wealth Johannes Fleck, European University Institute
3:45 PM	Floor Discussion

406	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-507
New Methodologies and Modern Data Applications — Contributed Papers
Business and Economic Statistics Section
Chair(s): Mariana Saenz Ayala, Georgia Southern
2:05 PM	Use of Social Media Big Data for Predicting the Credit Ratings of Companies Leonie Tabea Goldmann, University of Edinburgh; Jonathan Crook, University of Edinburgh; Raffaella Calabrese, University of Edinburgh
2:20 PM	Sparse Vector Networks Presentation Victor Solo, University of New South Wales
2:35 PM	Multidimensional Skills and the Returns to Schooling: Evidence from an Interactive Fixed Effects Approach and a Linked Survey-Administrative Dataset Presentation Evan Totty, U.S. Census Bureau; Mohitosh Kejriwal, Purdue University; Xiaoxiao Li , Villanova University
2:50 PM	Las Cruces Housing Prices Thomas Fullerton, UTEP; Steven L Fullerton, University of Texas at El Paso
3:05 PM	Analyzing Network Formation Models Using CEO’s Twitter Networks Suyong Song, University of Iowa; Kang-Pyo Lee, University of Iowa
3:20 PM	Bi-Clustering of Multivariate Regression Models: Presentation Raja Velu, Syracuse University; Zhaoque Zhou, Syracuse University
3:35 PM	Going Viral, Binge Watching, and Attention Cannibalism Natalie Blades, Brigham Young University; Scott Grimshaw, Brigham Young University; Candace J. Berrett, Brigham Young University

218836	Tue, 7/30/2019, 6:00 PM - 7:00 PM	H-Centennial Ballroom G
Business and Economic Statistics Section Meeting — Other Cmte/Business
Business and Economic Statistics Section
Chair(s): Peter Zadrozny, Bureau of Labor Statistics

218838	Tue, 7/30/2019, 7:00 PM - 9:00 PM	H-Centennial Ballroom G
Business and Economic Statistics Section Reception Following Open Meeting — Other Cmte/Business
Business and Economic Statistics Section
Chair(s): Peter Zadrozny, Bureau of Labor Statistics

460 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-104
Advances in Time Series Methodology — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, Biometrics Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): Rebecca Hutchinson, US Census Bureau
8:35 AM	Quadratic Prediction of Time Series via Auto-Cumulants Presentation Tucker McElroy, US Census Bureau; Soumendra N Lahiri, North Carolina State University; Dhrubajyoti Ghosh, North Carolina State University
8:55 AM	Seasonal Adjustment Subject to Frequency Aggregation Constraints Osbert Pang, U.S. Census Bureau; Tucker McElroy, US Census Bureau; Brian Monsell, U.S. Census Bureau
9:15 AM	Seasonal Adjustment of Aggregate Time Series with Components Containing Meagre Values Presentation Richard Penny, Statistics New Zealand; Tucker McElroy, US Census Bureau
9:35 AM	Post Selection Inference for High-Dimensional Time Series Anand Vidyashankar, George Mason University; Jeffrey Collamore, University of Copenhagen
9:55 AM	Regularized Estimation of High-Dimensional Auto- and Cross-Covariance Matrices Presentation Tommaso Proietti, University of Rome Tor Vergata; Alessandro Giovannelli, Ministry of Economics and Finance, Italy
10:15 AM	Floor Discussion

463	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-103
SPEED: Methodological Advances in Time Series: BandE Speed Session, Part 1 — Contributed Speed
Business and Economic Statistics Section, Text Analysis Interest Group
Chair(s): Jane L Harvill, Baylor University
Poster Presentations for this session.
8:35 AM	Functional Tail Dependence Coefficients for Copula Keying Ye, University of Texas at San Antonio; Zhiruo Liu, University of Texas at San Antonio; Donald Lien, University of Texas at San Antonio
8:40 AM	Modeling Time Series of Count Data Using a Periodic Conditional Poisson Model Presentation Yi Zhang, Missouri Univeristy of Science and Technology; V A Samaranayake, Missouri University of Science and Technology
8:50 AM	A New Method for Estimating Within-Industry Corporate Default Correlation Presentation Gary Witt, Temple University; Marcus Sobel, Temple University
9:00 AM	The Inequality Process' PDF Approximation Model for Heavy-Tailed Financial Distributions Presentation John Angle, The Inequality Process Institute LLC
9:05 AM	Bayesian Estimation of Local Volatility with Gaussian Process Kai Yin, Case Western Reserve University ; Anirban Mondal, Case Western Reserve University
9:10 AM	To Adjust or Not to Adjust? An Empirical Evaluation of Time Series with Unstable Seasonal Patterns Demetra Lytras, U.S. Census Bureau
9:15 AM	Application of Linear and Nonlinear Models into Trend Analysis of U.S. Cotton Export (1996-2017) Presentation Zahra Saki, NC State University; Marguerite Moore, NC State University; Lori H. Rothenberg, North Carolina State Un.
9:20 AM	Nonparametric Estimation of a General Equilibria Presentation John Schuler
9:30 AM	Efficient Prediction under Model Instabilities Presentation Shahnaz Parsaeian
9:35 AM	Application of Statistical Methods to Discovery of Anomalies in Accounting Data Presentation Eugene Yankovsky, EY; Ana Yankovsky, Intuitive; Loren Williams, EY
9:40 AM	Testing Simultaneous Diagonalizability of Rrandom Matrices Yuchen Xu, Cornell University; David Matteson, Cornell University
9:45 AM	Forecasting Daily Service Call Volume Using Nonparametric Transfer Function Approach Presentation Jun Liu
9:50 AM	Empirical Testing of an Option Pricing Model with Memory Flavia Sancier-Barbosa, Colorado College; Lochana Siriwardena, University of Indianapolis
9:55 AM	The Development of a Calculation of Composite Coincident Indicator (CCI) for the United States Presentation Brian Sloboda, University of Phoenix; Chandra Putcha, California State University at Fullerton
10:00 AM	Functional Stochastic Volatility Phillip Jang, Cornell University; David Matteson, Cornell University
10:05 AM	Testing for Unit Roots Using Artificial Neural Networks Presentation 1 Presentation 2 Rukman Ekanayake; V A Samaranayake, Missouri University of Science and Technology
10:10 AM	Forecasting Daily Electricity Load Profile Using Functional Principal Components and Transfer Function Models Presentation Abdelmonaem Jornaz, Northwest Missouri State University; V A Samaranayake, Missouri University of Science and Technology
10:15 AM	Communication Among Business and Statistics Journals: Citation Analysis and Text Analytics with Topic Analysis Mary Whiteside, The University of Texas At Arlington; Mark Eakin, The University of Texas at Arlington; Qiang Ruan, The University of Texas at Arlington

478 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-707
Scalable Bayesian Models for Time Series and Dynamic Networks: Making an Impact in Business and Socio-Economic Applications — Invited Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Business and Economic Statistics Section
Organizer(s): Mike West, Duke University
Chair(s): Mike West, Duke University
10:35 AM	Bayesian Forecasting of High-Dimensional Count-Valued Time Series: Massive Data in Consumer Sales Forecasting Presentation 1 Presentation 2 Presentation 3 Lindsay Berry, Duke University; Mike West, Duke University; Paul Helman, 84.51°
11:00 AM	Bayesian Decouple/Recouple Modeling for Large-Scale Dynamic Network Flow Studies Presentation Xi Chen, LinkedIn Corporation; David Banks, SAMSI/Duke University; Mike West, Duke University
11:25 AM	Online Learning and Variable Selection for High-Dimensional Time Series with Simultaneous Graphical Dynamic Linear Models Lutz F Gruber, QuantCo, Inc.; Mike West, Duke University
11:50 AM	A Bayesian Approach to Trajectory-Based Longitudinal Networks, with Application to the European Interbank Market Presentation Antonietta Mira, Università della Svizzera italiana and Università dell'Insubria; Federica Bianchi, Univesità della Svizzera italiana; Stefano Peluso, Cattolica University and Università della Svizzera italiana; Francesco Bartolucci, University of Perugia
12:15 PM	Floor Discussion

495 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-502
Changepoints: Making an Impact — Topic Contributed Papers
Royal Statistical Society, Section on Statistical Computing, Business and Economic Statistics Section
Organizer(s): Rebecca Killick, Lancaster University, UK
Chair(s): David Matteson, Cornell University
10:35 AM	Distinguishing Short and Long-Memory When Testing for Changepoints in Climate Time-Series: Application to Surface Temperature Records Claudie Beaulieu, University of California, Santa Cruz; Rebecca Killick, Lancaster University, UK
10:55 AM	Detection and Estimation of Local Signals David Siegmund; Xiao Fang, Chinese University of Hong Kong
11:15 AM	Detecting Changes in Mean in the Presence of Autocovariance Presentation Euan McGonigle, Lancaster University; Rebecca Killick, Lancaster University, UK; Matthew Nunes, University of Bath
11:35 AM	Changepoint Analysis of Historical Battle Deaths Presentation Marina Knight, University of York; Brennen Fagan, University of York; Niall MacKay, University of York; Jamie Wood, University of York
11:55 AM	Influence Measures for Changepoint Segmentations Presentation Ines Wilms, Maastricht University; Rebecca Killick, Lancaster University, UK; David Matteson, Cornell University
12:15 PM	Floor Discussion

500 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-103
Statistical Challenges and Recent Advances in Finance and Business Analytics — Topic Contributed Papers
Business and Economic Statistics Section
Organizer(s): Kai-Sheng Song , University of North Texas
Chair(s): Ta-Hsin Li, IBM T. J. Watson Research Center
10:35 AM	Virtual Standard Currency and Exchange Rates Zhengjun Zhang, University of Wisconsin
10:55 AM	Identification of Technical Analysis Patterns with Smoothing Splines for Bitcoin Prices Guoyi Zhang, University of New Mexico; Nikolay Miller, University of New Mexico; Yiming Yang , University of New Mexico; Bruce Sun, The state university of New York, Buffalo
11:15 AM	What Do Low Frequency of Transaction Costs Really Measure? Presentation Filip Zikes, Board of Governors of the Federal Reserve System; Mohammad Jahan-Parvar, Federal Reserve Board
11:35 AM	An Accurate and Globally Convergent Algorithm for Estimating General Stable Distributions with Financial Applications Kai-Sheng Song , University of North Texas
11:55 AM	Realtime Detection from Customer’s Behavior Sequence – Explore a Smart Customer Maintenance Algorithm Mingfei Li, Bentley University
12:15 PM	Floor Discussion

505 !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-503
Formal Privacy: Making an Impact at Large Organizations — Topic Contributed Panel
Committee on Privacy and Confidentiality, Business and Economic Statistics Section, Government Statistics Section
Organizer(s): Lars Vilhuber, Cornell University
Chair(s): Aleksandra Slavkovic, Penn State University
10:35 AM	Formal Privacy: Making an Impact at Large Organizations Presentation
Panelists:	Simson Garfinkel, US Census Bureau Ilya Mironov, Google Juan Lavista Ferres, Microsoft Shiva Kasiviswanathan, Amazon
12:10 PM	Floor Discussion

508	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-101
Forecasting and Modeling Financial Volatility — Contributed Papers
Business and Economic Statistics Section
Chair(s): Tucker McElroy, US Census Bureau
10:35 AM	Estimation of Model-Free Implied Variance Shuang Zhang, Peking University; Song Xi Chen, Peking University; Lei Lu, University of Manitoba
10:50 AM	Inference for Volatility Functionals of Ito Semimartingales Observed with Noise Richard Chen, University of Chicago
11:05 AM	Long-Horizon Return Predictability with Realized Volatility from Pure Jump Point Process Presentation Meng-Chen Hsieh, Rider University; Clifford Hurvich, New York University
11:20 AM	Creating Stock Portfolios Using Hidden Markov Models Presentation Qing Ji, University of Maryland, Baltimore County; Nagaraj Neerchal, University of Maryland, Baltimore County
11:35 AM	Business Cycle Downturn Patterns across Texas Presentation Aaron Nazarian, Border Region Modeling Project; Thomas Fullerton, UTEP
11:50 AM	Modeling and Forecasting Financial Volatility Using Composite CARR Models Presentation Isuru Ratnayake, Missouri University of Science and Technology; V A Samaranayake, Missouri University of Science and Technology
12:05 PM	Floor Discussion

519	Wed, 7/31/2019, 10:30 AM - 11:15 AM	CC-Hall C
SPEED: Methodological Advances in Time Series: BandE Speed Session, Part 2 — Contributed Poster Presentations
Business and Economic Statistics Section, Text Analysis Interest Group
Chair(s): Jane L Harvill, Baylor University
Oral Presentations for this session.
1:	Functional Tail Dependence Coefficients for Copula Keying Ye, University of Texas at San Antonio; Zhiruo Liu, University of Texas at San Antonio; Donald Lien, University of Texas at San Antonio
2:	A Periodic Conditional Poisson Model Yi Zhang, Missouri Univeristy of Science and Technology; V A Samaranayake, Missouri University of Science and Technology
4:	A New Method for Estimating Within-Industry Corporate Default Correlation Gary Witt, Temple University; Marcus Sobel, Temple University
6:	The Inequality Process' PDF Approximation Model for Heavy-Tailed Financial Distributions John Angle, The Inequality Process Institute LLC
7:	Bayesian Estimation of Local Volatility with Gaussian Process Kai Yin, Case Western Reserve University ; Anirban Mondal, Case Western Reserve University
8:	To Adjust or Not to Adjust? An Empirical Evaluation of Time Series with Unstable Seasonal Patterns Demetra Lytras, U.S. Census Bureau
9:	Application of Linear and Nonlinear Models into Trend Analysis of U.S. Cotton Export (1996-2017) Zahra Saki, NC State University; Marguerite Moore, NC State University; Lori H. Rothenberg, North Carolina State Un.
10:	Nonparametric Estimation of a General Equilibria John Schuler
11:	Efficient Prediction under Model Instabilities Shahnaz Parsaeian
12:	Application of Statistical Methods to Discovery of Anomalies in Accounting Data Eugene Yankovsky, EY; Ana Yankovsky, Intuitive; Loren Williams, EY
13:	Testing Simultaneous Diagonalizability of Rrandom Matrices Yuchen Xu, Cornell University; David Matteson, Cornell University
14:	Forecasting Daily Service Call Volume Using Nonparametric Transfer Function Approach Jun Liu
15:	Empirical Testing of an Option Pricing Model with Memory Flavia Sancier-Barbosa, Colorado College; Lochana Siriwardena, University of Indianapolis
16:	The Development of a Calculation of Composite Coincident Indicator (CCI) for the United States Brian Sloboda, University of Phoenix; Chandra Putcha, California State University at Fullerton
17:	Functional Stochastic Volatility Phillip Jang, Cornell University; David Matteson, Cornell University
18:	Testing for Unit Roots Using Artificial Neural Networks Rukman Ekanayake; V A Samaranayake, Missouri University of Science and Technology
19:	Forecasting Daily Electricity Load Profile Using Functional Principal Components and Transfer Function Models Abdelmonaem Jornaz, Northwest Missouri State University; V A Samaranayake, Missouri University of Science and Technology
20:	Communication Among Business and Statistics Journals: Citation Analysis and Text Analytics with Topic Analysis Mary Whiteside, The University of Texas At Arlington; Mark Eakin, The University of Texas at Arlington; Qiang Ruan, The University of Texas at Arlington
Oral Presentations for this session.

546 !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-501
Recent Advances in Time Series and Point Process — Invited Papers
Business and Economic Statistics Section, Section on Risk Analysis, Section on Statistical Computing
Organizer(s): Xialu Liu, San Diego State University
Chair(s): Xialu Liu, San Diego State University
2:05 PM	A Factor Model Approach for High-Dimensional Dynamic Tensor Time Series Rong Chen, Rutgers University; Dan Yang, Rutgers University; Cun-Hui Zhang, Rutgers University
2:30 PM	A Bivariate Point Process Model with Application to Social Media User Content Generation Yongtao Guan, University of Miami
2:55 PM	Time Series Forecasting with Random Forests and Nonparametric Models Barbara Ann Bailey, San Diego State University
3:20 PM	A Class of Generalized Self-Normalizers for Inference of Time Series and Its Optimal Weighting Ting Zhang, Boston University
3:45 PM	Floor Discussion

565 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-705
Time Series in Government and National Statistics — Topic Contributed Papers
Government Statistics Section, Business and Economic Statistics Section, Survey Research Methods Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): James Livsey, U.S. Census Bureau
2:05 PM	Trend-Cycle Filters Comparison for Real Time Macroeconomic Data Presentation Estella Dagum, University of Bologna; Silvia Bianconcini, University of Bologna
2:25 PM	Using Daily Payment Processor Data to Determine Existence and Length of Retail Shopping Event Effects Rebecca Hutchinson, US Census Bureau; Nicole Czaplicki, U.S. Census Bureau
2:45 PM	Estimating the Variance of Seasonally Adjusted Series of Monthly Statistics Canada Surveys Francois Verret, Statistics Canada; Catalin Dochitoiu, Statistics Canada
3:05 PM	Assessing Residual Seasonality in the U.S. National Income and Product Accounts (NIPA) Aggregates Baoline Chen, Bureau of Economic Analysis; Tucker McElroy, US Census Bureau; Osbert Pang, U.S. Census Bureau
3:25 PM	Dealing with Discontinuities in Survey Reporting Periods and Their Impact on Seasonal Adjustment of Time Series Presentation Charlotte Gaughan, Office for National Statistics; Atanaska Nikolova, Office for National Statistics
3:45 PM	Floor Discussion

566 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-101
Analytics in Insurance Operations: Novel Statistical Methods and Applications — Topic Contributed Papers
Casualty Actuarial Society, Committee on Applied Statisticians, Business and Economic Statistics Section
Organizer(s): Peng Shi, University of Wisconsin-Madison
Chair(s): Peng Shi, University of Wisconsin-Madison
2:05 PM	Incorporating Frequency-Severity Dependence into Collective Risk Models Presentation Zifeng Zhao, University of Notre Dame; Peng Shi, University of Wisconsin-Madison
2:25 PM	Loss Reserving Models for the Unearned Premium Risk Presentation Mathieu Pigeon, UQAM; Jean-Philippe Boucher, UQAM; Sebastien Jessup, UQAM
2:45 PM	Multi-Peril Ratemaking for Property Insurance Using Longitudinal Data Presentation Lu Yang, University of Amsterdam; Peng Shi, University of Wisconsin-Madison
3:05 PM	Deductible Ratemaking and Related Issues Presentation Gee Lee, Michigan State University
3:25 PM	A New Perspective from a Dirichlet Model for Insurance Loss Reserving Karthik Sriram, Indian Institute of Management Ahmedabad
3:45 PM	Floor Discussion

604 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-112
Bayesian Inference in Discrete Choice Analysis of Consumer Behavior — Topic Contributed Papers
Business and Economic Statistics Section, Section on Bayesian Statistical Science, Section on Statistics in Marketing
Organizer(s): Kali Chowdhury, University of California, Irvine
Chair(s): Imran Currim, University of California, Irvine
8:35 AM	Flexible Functional Specification in Hierarchical Bayesian Estimation of Discrete Choices Kali Chowdhury, University of California, Irvine
8:55 AM	A Flexible Method for Demand Forecasting with Structural Decomposition Presentation Mingyu Joo, UC Riverside; Chul Kim, Baruch College (CUNY); Dongsoo Kim, Ohio State University
9:15 AM	A Model for Built Environment Effects on Mode Usages Presentation Kai Yoshioka, University of California, Irvine; Tomomi Miyazaki, Kobe University
9:35 AM	Discussant: Cheryl Hild, Lincoln Memorial University
9:55 AM	Floor Discussion

633	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-102
Foundations of Data Science: Privacy-Preserving Inference — Invited Papers
Business and Economic Statistics Section, Royal Statistical Society, IMS, Section on Statistical Learning and Data Science
Organizer(s): Sofia C Olhede, University College London
Chair(s): Guy Nason, University of Bristol
11:00 AM	Privacy-Preserving Technologies Meet Machine Learning Presentation Jeannette Wing, Columbia University, Data Science Institute
11:25 AM	Privacy-Preserving Prediction Presentation 1 Presentation 2 Presentation 3 Cynthia Dwork, Harvard University; Vitaly Feldman, Google
11:50 AM	Discussant: Patrick J Wolfe, Purdue University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association