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* = applied session ! = JSM meeting theme
Activity Details
36 * !
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Spatial and Spatio-Temporal Modeling of the Demographic and Economic Data — Invited Papers
Business and Economic Statistics Section , International Indian Statistical Association, Government Statistics Section
Organizer(s): Soutir Bandyopadhyay, Colorado School of Mines
Chair(s): Soumendra Lahiri, Washington University
3:35 PM
Joint Bayesian Analysis of Multiple Response Types Using the Hierarchical Generalized Transformation Model
Jonathan R Bradley, Florida State University
3:55 PM
Spatial Analysis and Modeling of Urbanization-Related Population and Land Use Dynamics
Jing Gao, University of Delaware
4:15 PM
Tensor-Based Anomaly Detection from Large Spatio-Temporal Data
Taps Maiti, Michigan State University; Peide Li, Michigan State University
4:35 PM
Advantages of Model Misspecification for Block Data
Soutir Bandyopadhyay, Colorado School of Mines ; Douglas Nychka, Colorado School of Mines; Peter Simonson, CACI-BITS systems
4:55 PM
Discussant: Douglas Nychka, Colorado School of Mines
5:15 PM
Floor Discussion
50 * !
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Advances in Spatial Statistics for Survey Methodology and Official Statistics — Topic-Contributed Papers
Survey Research Methods Section , Government Statistics Section, Business and Economic Statistics Section
Organizer(s): Scott Holan, University of Missouri
Chair(s): Scott Holan, University of Missouri
3:35 PM
Bayesian Dasymetric Modeling
Matthew Simpson, SAS Institute ; Scott Holan, University of Missouri; Christopher Wikle, University of Missouri
3:55 PM
Hierarchical Bayesian Mixed Effect Models for Spatially Correlated Areal Count-Valued Data When Covariates Are Measured with Error
Saikat Nandy, University of Missouri ; Scott Holan, University of Missouri
4:15 PM
An Accurate Corset Methodology for Efficient Reduction of Spatial Data
Ranadeep Daw, University of Missouri ; Christopher Wikle, University of Missouri
4:35 PM
A Spatial Change of Support Model for Differentially Private Measurements, with Application to Estimation of Counts of Persons in AIAN Areas by Detailed Race Groups
Ryan Janicki, US Census Bureau ; Andrew Raim, U. S. Census Bureau; Kyle Irimata, U.S. Census Bureau; James A Livsey, U. S. Census Bureau; Scott Holan, University of Missouri
4:55 PM
A Bayesian Functional Data Model for Surveys Collected Under Informative Sampling with Application to Mortality Estimation Using NHANES
Paul Parker, University of Missouri ; Scott Holan, University of Missouri
5:15 PM
Floor Discussion
52 * !
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Statistically Accurate Interactive Displays for Educational and Government Reports — Topic-Contributed Panel
Government Statistics Section , Social Statistics Section, Section on Statistical Graphics
Organizer(s): Brian Habing, National Institute of Statistical Sciences
Chair(s): Brian Habing, National Institute of Statistical Sciences
3:35 PM
Statistically Accurate Interactive Displays for Educational and Government Reports
Panelists:
Andrew White, National Center for Education Statistics
Lynne Stokes, Southern Methodist University
Mark Wilson, University of California Berkeley
Nola du Toit, NORC at the University of Chicago
5:10 PM
Floor Discussion
75
Mon, 8/9/2021,
10:00 AM -
11:50 AM
Virtual
SPEED: Data Challenge and SPAAC — Topic-Contributed Speed
Government Statistics Section , SPAA Committee, Section on Statistical Computing, Section on Statistical Graphics
Chair(s): Wendy Martinez, Bureau of Labor Statistics
10:05 AM
Determine the Factors That Drive Social Distancing During COVID-19 Pandemic
Zijian Huang, University of Connecticut ; Simiao Gao, University of Connecticut
10:10 AM
Predicting the Impacts of a Pandemic: An Analysis of the Relationship Between Social Vulnerability and COVID-19 in the United States
Coby Warkentin, Miami University ; Lydia Carter, Miami University; Thomas J Fisher, Miami University
10:15 AM
WITHRAWN: Identifying County Demographics Most Affected by COVID-19
Eric Christopher Browne, University of Denver; Isabel Osgood, University of Denver
10:20 AM
The Effects of COVID-19-Related State-Level Restrictions on National and State Unemployment
Richard Griffiths, mGTI Statistics; Clayton Perry, Self; Chrystine Tadler, Self
10:25 AM
Predict COVID-19 Cases by County-Level Socio-Economics Indicators
Yue Yu, University of Michigan ; Shiying Wang, Georgetown University
10:30 AM
Are We All in the Same Boat? How COVID-19 Affected Central Ohio Residents
Betsy Ehmcke, Ohio State University ; Liz Whelan-Jackson, Mid-Ohio Regional Planning Commission
10:35 AM
State Space Assessment on the Impact of COVID-19 on Housing Security for Young Adults in the United States
Mingzhao Hu, University of California Santa Barbara
10:40 AM
Anxiety Prediction Before and After the COVID-19 Pandemic
Krista Wurscher, The Ohio State University ; Yue Yu, The Ohio State University
10:45 AM
Promoting Environmental Justice While Recovering from COVID-19
Victoria Anderson, Esri ; Brady Ross, Esri
10:50 AM
Prediction of Anxiety Due to COVID-19 Across States from 2020 to 2021
Yifan Lu, Southern Methodist University ; Stephen Frantz, Southern Methodist University; Duwani Katumullage, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:00 AM
The Effect of County-Level Socioeconomic and Health Care Inequality on COVID-19 Infection and Mortality in the Southern and Southeastern United States
Webb Williams, Southern Methodist University ; Jackson Paul Barth, Southern Methodist University; Guanqing Cheng, Southern Methodist University; Ming Zhang, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:05 AM
Predictors of US Government Spending on COVID-19 Relief
Henry Dorsey, Southern Methodist University; MaryLena Bleile, Southern Methodist University ; Mingzhe Fang, Southern Methodist University; Austin Hung, Southern Methodist University; Hon Keung Tony Ng, Southern Methodist University; Lynne Stokes, Southern Methodist University
11:10 AM
Forecasting the Potential Impact of the COVID-19 Pandemic on Employment Opportunities in the North Carolina Textile Industry Using Time Series Models
Lori Rothenberg, North Carolina State University ; Sneha Rani, North Carolina State University; Helmut Hergeth, North Carolina State University; Lisa Chapman, North Carolina State University
11:15 AM
Measuring Systemic Risks and Inefficiency in Agriculture: The Indian Story
Presentation
Nimai Mehta, American University
11:20 AM
Estimation of Crash Type Frequencies on Individual Collector Roadway Segments
Asif Mahmud, The Pennsylvania State University ; Vikash V. Gayah, The Pennsylvania State University
11:25 AM
Bayesian Modeling of Spatial Transcriptomics Data via a Modified Ising Model
Xi Jiang, Southern Methodist University ; Qiwei Li, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
11:30 AM
Gaussian Random Functional Dynamic Spatio-Temporal Modeling of Discrete-Time Spatial Time Series Data
Presentation
Suman Guha, Presidency University
11:35 AM
IVY Plots and Gaussian Interval Plots
Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis; Mamunur Rashid, DePauw University
11:40 AM
Adaptive Enrichment Design with Multiple Interim Analysis for Clinical Trials with Biomarker
Presentation
Hao Zhang, Amgen Inc. ; David Gold, Amgen Inc.
112 *
Mon, 8/9/2021,
1:30 PM -
3:20 PM
Virtual
Statistics and Legislative Redistricting — Invited Papers
Social Statistics Section , Government Statistics Section, Statistics and Public Policy
Organizer(s): Cory McCartan, Harvard University
Chair(s): Jonathan C. Mattingly, Duke University
1:35 PM
Monte Carlo Methods for Revealing Gerrymandering
Gregory J Herschlag, Department of Mathematics ; Jonathan C. Mattingly, Duke University
2:05 PM
Sequential Monte Carlo for Sampling Balanced and Compact Redistricting Plans
Presentation
Cory McCartan, Harvard University ; Kosuke Imai, Harvard University
2:35 PM
Computational Methods for Assessing Political Redistricting Reforms
Daryl DeFord, Washington State University
3:05 PM
Floor Discussion
124 *
Mon, 8/9/2021,
1:30 PM -
3:20 PM
Virtual
Algorithms for Threat Detection — Topic-Contributed Papers
Section on Statistics in Defense and National Security , Stats. Partnerships Among Academe Indust. & Govt. Committee, Government Statistics Section
Organizer(s): Abel Rodriguez, University of Washington
Chair(s): Abel Rodriguez, University of Washington
1:35 PM
Sequential Change-Point Detection for Hawkes Processes Over Networks
Yao Xie, Georgia Institute of Technology ; Haoyun Wang, Georgia Institute of Technology; Liyan Xie, Georgia Institute of Technology; Simon Mak, Duke University; Alex Cuozzo , Duke University
1:55 PM
Matérn Gaussian Fields on Graphs: Theory and Applications
Daniel Sanz-Alonso, University of Chicago; Ruiyi Yang, University of Chicago
2:15 PM
Data-Dependent Distances for Hyperspectral Images
James M. Murphy, Tufts University
2:35 PM
CHIP: A Hawkes Process Model for Continuous-Time Networks of Relational Events
Subhadeep Paul, The Ohio State University ; Kevin Xu, University of Toledo; Makan Arastuie, University of Toledo
2:55 PM
Topological Anomaly Detection on Complex Networks
Dorcas Ofori-Boateng, Portland State University ; Ignacio Segovia Dominguez, UNIVERSITY OF TEXAS AT DALLAS; Yulia R. Gel, UNIVERSITY OF TEXAS AT DALLAS; Murat R. Kantargioclu, UNIVERSITY OF TEXAS AT DALLAS; Cuneyt G Akcora, University of Manitoba
3:15 PM
Floor Discussion
126 * !
Mon, 8/9/2021,
1:30 PM -
3:20 PM
Virtual
Interpreting Nonprobability Samples: Discoveries and Challenges — Topic-Contributed Papers
Survey Research Methods Section , Government Statistics Section, Social Statistics Section
Organizer(s): Michael Yang, NORC at the University of Chicago
Chair(s): Katherine Jenny Thompson, U.S. Census Bureau
1:35 PM
Exploring Nonprobability Methods with Simulations from a Common Data Source: Culture and Community in a Time of Crisis
Jennifer Benoit-Bryan, Slover Linett Audience Research
1:55 PM
Combining Data from Probability and Non-Probability Samples Using Penalized Spline of Propensity Prediction
Presentation
Michael R. Elliott, University of Michigan ; Ali Rafei, University of Michigan; Carol Flannagan, University of Michigan
2:15 PM
Estimators with Combined Probability and Nonprobability Samples Using Small Area Models
Michael Yang, NORC at the University of Chicago ; Nada Ganesh, NORC at the University of Chicago; Evan Herring-Nathan, NORC at the University of Chicago; Vicki Pineau, NORC at the University of Chicago
2:35 PM
Creating Statistically-Defensible Calibrated Weights for a Blended Sample and Measuring the Accuracy of the Resulting Estimates
Presentation
Phillip Kott, RTI International ; Jamie Ridenhour, RTI International
2:55 PM
Discussant: Edward Mulrow, NORC at the University of Chicago
3:15 PM
Floor Discussion
147 * !
Tue, 8/10/2021,
10:00 AM -
11:50 AM
Virtual
Producing Official Statistics During a Pandemic: Advances Under Adversity — Invited Papers
Government Statistics Section , Survey Research Methods Section, Social Statistics Section
Organizer(s): Linda J Young, USDA National Agricultural Statistics Service
Chair(s): Yang Cheng, USDA National Agricultural Statistics Service
10:05 AM
Methodological Innovations Behind the COVID-19 Household Pulse Survey
Jason Fields, U.S. Census Bureau ; Jennifer Hunter Childs, US Census Bureau; Anthony Tersine, U.S. Census Bureau
10:30 AM
Producing National Health Estimates During a Pandemic
Morgan Earp, National Center for Health Statistics ; Stephen Blumberg, National Center for Health Statistics; Carol DeFrances, National Center for Health Statistics; Ryne Paulose, National Center for Health Statistics
10:55 AM
BLS Business Surveys in the Wake of COVID-19: Changes to Data Collection, Imputation, and Estimation
Kenneth W Robertson, U.S. Bureau of Labor Statistics
11:20 AM
Discussant: Linda J Young, USDA National Agricultural Statistics Service
11:40 AM
Floor Discussion
160 * !
Tue, 8/10/2021,
10:00 AM -
11:50 AM
Virtual
Time Series Methodology: Modern Practices in Seasonal Adjustment and Software — Topic-Contributed Papers
Section for Statistical Programmers and Analysts , Government Statistics Section, Business and Economic Statistics Section
Organizer(s): James A Livsey, U. S. Census Bureau
Chair(s): Vladas Pipiras, University of North Carolina at Chapel Hill
10:05 AM
Adapting the Seasonal Adjustment of Local Area Unemployment Statistics to the COVID-19 Pandemic
Richard Tiller, Bureau of Labor Statistics ; Jennifer Oh, Bureau of Labor Statistics; Lizhi Liu, Bureau of Labor Statistics
10:25 AM
New Seasonal Adjustment and Signal Extraction Methods in the Manufacturers’ Shipments, Inventories, and Orders (M3) Survey
James A Livsey, U. S. Census Bureau ; Colt Viehdorfer, US Census Bureau
10:45 AM
Toward a New Paradigm for Scanner Data Price Indices: Applying Big Data Techniques to Big Data
Jens Mehrhoff, Deutsche Bundesbank
11:05 AM
Recent Advances in Count Time Series Models
Stefanos Kechagias, SAS Institute ; Vladas Pipiras, University of North Carolina at Chapel Hill; James A Livsey, U. S. Census Bureau; Robert Lund, UC Santa Cruz; Yisu Jia, University of North Florida
11:25 AM
Review of Available Programs for Seasonal Adjustment of Weekly Data
Presentation
Thomas Evans, Bureau of Labor Statistics ; Brian C Monsell, U.S. Bureau of Labor Statistics; Michael Sverchkov, Bureau of Labor Statistics
11:45 AM
Floor Discussion
185 *
Tue, 8/10/2021,
1:30 PM -
3:20 PM
Virtual
The Missing Puzzle Piece: Estimating Survey Data Collection Costs — Invited Papers
Survey Research Methods Section , Government Statistics Section, Social Statistics Section
Organizer(s): Stephanie Coffey, U.S. Census Bureau
Chair(s): Stephanie Coffey, U.S. Census Bureau
1:35 PM
Examining Variation in Survey Costs Across Surveys
Kristen Olson, University of Nebraska-Lincoln ; Jennifer Dykema, University of Wisconsin Survey Center; John Stevenson, University of Wisconsin Survey Center; Lindsey Witt-Swanson, Bureau of Sociological Research
2:00 PM
Is the Price Right? Predicting Future Survey Costs Using Previous Cycles
Presentation
Kayla Marie Varela, US Census Bureau
2:25 PM
Using Machine Learning and Statistical Models to Predict Survey Costs
James Wagner, University of Michigan ; Brady T. West, University of Michigan; Michael R. Elliott, University of Michigan; Stephanie Coffey, U.S. Census Bureau
2:50 PM
Discussant: John L Eltinge, U.S. Census Bureau
3:10 PM
Floor Discussion
196 * !
Tue, 8/10/2021,
1:30 PM -
3:20 PM
Virtual
How Statistical Auditing Tells Us About Life, the Universe, and Everything — Invited Panel
Statistical Auditing Interest Group , Government Statistics Section, Business and Economic Statistics Section
Organizer(s): John Hilton, Office of the Auditor General of Canada
Chair(s): Zac Rhyne, Ryan, LLC.
1:35 PM
How Statistical Auditing Tells Us About Life, the Universe, and Everything
Panelists:
Wendy Rotz, Grant Thornton LLP
Nick Brouwer, Office of the Auditor General of Canada
John Hilton, Office of the Auditor General of Canada
James Ashley, U.S. Government Accountability Office
3:10 PM
Floor Discussion
199 * !
Tue, 8/10/2021,
1:30 PM -
3:20 PM
Virtual
Novel Time Series Approaches for Official Statistics in the Time of COVID-19 — Topic-Contributed Papers
Business and Economic Statistics Section , Government Statistics Section
Organizer(s): Brian C Monsell, U.S. Bureau of Labor Statistics
Chair(s): James A Livsey, U. S. Census Bureau
1:35 PM
Novel Data Sources for Business Cycle Analysis and Seasonal Adjustment
Presentation
Daniel Ollech, Deutsche Bundesbank
1:55 PM
Seasonal Adjustment of High-Frequency Series in COVID Time
Jean Palate, National Bank of Belgium
2:15 PM
Seasonal Adjustment and Modeling of Higher Frequency Time Series in UK Official Statistics During the COVID-19 Outbreak
Duncan Elliott, Office for National Statistics
2:35 PM
Asymmetric Linear Filters for Seasonal Adjustment: Applications to the COVID-19 Impact in Monthly Time Series
Presentation
Alain Quartier-la-tente, ENSAE ; Dominique Ladiray, Independant
2:55 PM
Time Series Responses to the COVID-19 Pandemic at BLS for Monthly and Weekly Series
Presentation
Brian C Monsell, U.S. Bureau of Labor Statistics
3:15 PM
Floor Discussion
212
Tue, 8/10/2021,
1:30 PM -
3:20 PM
Virtual
GOVT CSpeed 1 — Contributed Speed
Government Statistics Section
Chair(s): William Everett Cecere, Westat
1:35 PM
Implementing Differentially Private Geometric Mechanism to Business Formation Statistics and Manufactured Housing Survey for Privacy Protection
THAGENDRA PRASAD TIMSINA, CENSUS BUREAU
1:40 PM
Evidence Act Standard Application Process: Stakeholder Engagement and Observations
Jon Desenberg, The MITRE Corporation; Heather Madray, U.S. Census Bureau ; Sue Collin, The MITRE Corporation
1:45 PM
Disclosure Risk from Homogeneity Attack in Differentially Private Frequency Distribution
Presentation
Fang Liu, University of Notre Dame; Xingyuan Zhao, University of Notre Dame
1:50 PM
Sharing Student Data Across Organizational Boundaries Using Secure Multiparty Computation
Presentation
Stephanie Straus, Georgetown University, Massive Data Institute ; Amy O'Hara, Georgetown University, Massive Data Institute; David Archer, Galois; Rawane Issa, Galois
1:55 PM
Application of Different Priors in Bayesian Logistic Regression Comparing Odds of Non-Response Among Strata in US Census of Horticulture Specialties in Two Selected States
Bayazid Sarkar, NASS/USDA
2:00 PM
Using the American Community Survey to Construct a Labor Composition Measure Suitable for BLS MFP and the BEA-BLS Integrated Industry-Level Production Account
Jerin Varghese, Bureau of Labor Statistics ; Jon D. Samuels, Bureau of Economic Analysis; Michael Jadoo, Bureau of Labor Statistics; Andrew Kato, Bureau of Labor Statistics; Michael Sverchkov, Bureau of Labor Statistics; Corby Garner, Bureau of Labor Statistics; Justin Harper, Bureau of Labor Statistics
2:05 PM
Using Paradata and Machine Learning to Examine American Community Survey (ACS) Data Collection Effectiveness
Caleb Floyd, United States Census Bureau ; Deborah Delio, United States Census Bureau; Matthew Brooks , United States Census Bureau
2:10 PM
Modeling Survey Nonresponse Using Multiple Indicators of Survey Burden in a Household Survey
John Dixon, Bureau of Labor Statistics
2:15 PM
Using Administrative Data to Conduct a Nonresponse Bias Analysis in the Survey of Occupational Injuries and Illnesses
Ellen Galantucci, Bureau of Labor Statistics
2:20 PM
Multiple Imputation of Missing Data with Skip-Pattern Covariates
Guangyu Zhang, CDC ; Yulei He, US Centers for Disease Control and Prevention; Bill Cai, NCHS; Chris Moriarity, NCHS; Hee-Choon Shin, National Center for Health Statistics; Van Parsons, CDC; Katherine Irimata, NCHS
2:30 PM
Influential Unit Treatment in the Annual Survey of Local Government Finances
Noah Bassel, US Census Bureau
2:35 PM
Data Quality in the Consumer Expenditure Survey’s Large-Scale Online Diary Feasibility Test
Presentation
Laura Erhard, Bureau of Labor Statistics
2:40 PM
Mode Effects in the Research and Development Survey
Presentation
Bill Cai, NCHS
2:45 PM
Agent-Based Modeling of Residential Energy Demand
Janice Lent, U.S. Energy Information Administration
2:50 PM
Projection of Argentina's Macroeconomic Aggregates Through a Constrained Adaptive Expectations Model
Luis Frank, Universidad de Buenos Aires
2:55 PM
HODOR: Hold-Out Design for Network A/B Testing with Lurking Variables
Nicholas Alfredo Larsen, North Carolina State University, Department of Statistics ; Jon Stallrich, North Carolina State; Srijan Sengupta, North Carolina State University
3:15 PM
Floor Discussion
239 *
Wed, 8/11/2021,
10:00 AM -
11:50 AM
Virtual
The 2020 FCSM Data Quality Framework: Future Directions — Topic-Contributed Papers
Government Statistics Section , Survey Research Methods Section
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Linda J Young, USDA National Agricultural Statistics Service
10:05 AM
'Ask US' About Coverage Error: An Investigation from a New Inter-Agency Online Panel
Emilia Peytcheva, RTI International ; Jennifer Hunter Childs, US Census Bureau
10:25 AM
Expanding Data Linkage Opportunities and Measuring Quality
Lisa B. Mirel, CDC/NCHS/DAE ; Dean Resnick, NORC; Christine Cox, NORC; Jonathan Aram, CDC/NCHS/DAE
10:45 AM
Visual and Interactive Tools for Assessing Data Quality
Presentation
Zachary H. Seeskin, NORC at the University of Chicago ; Kiegan Rice, NORC at the University of Chicago
11:05 AM
Transportation Data for Decision-Making During the COVID-19 Pandemic
Presentation
Rolf Schmitt, Bureau of Transportation Statistics
11:25 AM
Discussant: Jennifer D Parker, NCHS
11:45 AM
Floor Discussion