The 2015 Joint Statistical Meetings will take place August 8-13, 2015 in Seattle, WA. NCRN Researchers participate in the program, and this page lists a "virtual" program of sessions and activities with NCRN participation. NCRN members are bolded, speakers are in italics
Sunday, August 9:
NCRN Speakers:
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"Do Interviewers with High Cooperation Rates Behave Differently? Interviewer Cooperation Rates and Interview Behaviors", Kristen Olson, University of Nebraska - Lincoln; Jolene D. Smyth, University of Nebraska - Lincoln; Antje D. Kirchner, University of Nebraska - Lincoln
Monday, August 10:
Session: Bayesian Approaches to Record Linkage — Invited Papers
Chair: Steven Fienberg, Carnegie Mellon University; Organizer: Mauricio Sadinle, Carnegie Mellon University
Speakers:
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"Methods for Quantifying Conflict Casualties in Syria", Rebecca Steorts, Carnegie Mellon University; Samuel Ventura, Carnegie Mellon University; Mauricio Sadinle, Carnegie Mellon University; Steven Fienberg, Carnegie Mellon University;
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"Adjusting for Errors in Blocking Variables in Record Linkage", Nicole Dalzell, Duke University; Jerry Reiter, Duke University;
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"Joint modeling for record linkage and statistical analysis", Michael Larsen, George Washington University;
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"Simultaneously Propagating Uncertainty and Providing Inference on Linked Data via Bayesian Graphical Record Linkage", Andrea Tancredi, Sapienza University of Rome; Rebecca Steorts, Carnegie Mellon University; Brunero Liseo, Sapienza University of Rome
Discussant: William E Winkler, US Census Bureau
Session: Has Informed Consent Outrun Its Usefulness? — Invited Panel
Committee on Privacy and Confidentiality , Section on Statistical Consulting , Scientific and Public Affairs Advisory Committee
Organizer(s): Alan F. Karr, RTI International (Duke/NISS node)
Chair(s): Alan F. Karr, RTI International (Duke/NISS node)
Abstract:
Has Informed Consent Outrun its Usefulness?
Panelists:
Frauke Kreuter, Joint Program in Survey Methodology
Helen Nissenbaum, New York University
Julia Lane, American Institutes for Research
Marjory Blumenthal, Office of Science and Technology Policy
Session: Big Data in the Environment — Invited Papers
Section on Statistics and the Environment , Korean International Statistical Society , Government Statistics Section , Scientific and Public Affairs Advisory Committee
Organizer(s): Edward Boone, Virginia Commonwealth University
Chair(s): Edward Boone, Virginia Commonwealth University
Speakers:
- Efficient Parameterizations for Multiscale Multivariate Spatio-Temporal Data — Christopher K. Wikle, University of Missouri ; Jonathan R. Bradley, University of Missouri ; Scott H. Holan, University of Missouri
Session: Recent Advances in Statistical Methodology for Small-Area Estimation and Federal Surveys — Invited Papers
Survey Research Methods Section , Government Statistics Section , Section on Statistics and the Environment
Organizer(s): Scott H. Holan, University of Missouri
Chair(s): Darcy Miller, NASS
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Inference About Small-Area Distributions Using Area-Level Tabulations — Raymond Chambers, University of Wollongong
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Small-Area Estimation for High-Dimensional Multivariate Spatio-Temporal Count Data — Jonathan R. Bradley, University of Missouri ; Scott H. Holan, University of Missouri ; Christopher K. Wikle, University of Missouri
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On Borrowing Information Over Time in Small-Area Estimation — William R. Bell, U.S. Census Bureau ; Carolina Franco, U.S. Census Bureau
Discussant: John L. Eltinge, Bureau of Labor Statistics
Tuesday, August 11:
Session: Protecting Privacy While Maximizing the Utility of Government Data: Evaluating Current Approaches and Exploring New Alternatives — Topic Contributed Papers
NCRN Speakers: Synthetic Longitudinal Business Databases for International Comparisons — Joerg Drechsler, Institute for Employment Research ; Lars Vilhuber, Cornell University
Statistical Quality and Estimation Validation: Measuring the Benefits — Contributed Papers
Government Statistics Section , Committee on Applied Statisticians
Chair(s): Tamara Rib, IRS
- Estimation Process Used in the Occupational Requirements Survey — Brad Rhein, Bureau of Labor Statistics ; Chester Ponikowski, Bureau of Labor Statistics
- Occupational Requirements Survey (ORS) Estimate Validation — Kristin Smyth, Bureau of Labor Statistics
- Measuring Benefits from Improving Accuracy of the 2020 Census: Apportionment of the U.S. House of Representatives and Allocation of Federal Funds — Zachary H. Seeskin, Northwestern University ; Bruce D. Spencer, Northwestern University
- Improving the Annual Survey of Local Government Finances' Sample Design and Estimation — Joseph Barth, U.S. Census Bureau ; Elizabeth Love, U.S. Census Bureau
- Are State-Level Estimates for the American Housing Survey Feasible? — Ernest Lawley, U.S. Census Bureau ; Stephen Ash, U.S. Census Bureau ; Kathy Zha, U.S. Census Bureau
- Has the Quality of Official Statistics Improved Over the Last 25 Years? — David Marker, Westat
Wednesday, August 12:
Session: Bayesian Approaches for Complex Data in Surveys - Topic Contributed Papers
Chair: Satkartar Kinney, National Institute of Statistical Sciences; Organizer: Hang Kim, National Institute of Statistical Sciences
Speakers:
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“Bayesian Estimation Under Informative Sampling", Terrance D. Savitsky, U.S. Bureau of Labor Statistics
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“Bayesian Modeling and Imputation for Missing Mixed Ordinal-Categorical Data in Large‐Scale Surveys", Maria De Yoreo, Duke University;
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“A Bayesian Semiparametric Area-Level Model for Small-Area Estimation", Neung Soo Ha, National Institute of Statistical Sciences;
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“Bipartite Matching Estimation for Record Linkage”, Mauricio Sadinle Garcia-Ruiz, Carnegie Mellon University,
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“Bayesian Simultaneous Edit and Imputation for Categorical Microdata", Daniel Manrique-Vallier, Indiana University,
Session: R.A. Fisher and the Statistical ABCs - Invited Papers
Stephen Fienberg, Carnegie Mellon University
Recent Advances in Bayesian Time Series and Econometrics — Invited Papers
Business and Economic Statistics Section , Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA)
Organizer(s): David S. Matteson, Cornell University
Chair(s): William B. Nicholson, Cornell University
- Stochastic Volatility Filtering and Estimation with Intractable Likelihoods — Emilian Vankov, Rice University ; Katherine Bennett Ensor, Rice University
- A Bayesian Multivariate Functional Dynamic Linear Model — David S. Matteson, Cornell University ; Daniel Kowal, Cornell University ; David Ruppert, Cornell University
- Bayesian Lattice Filters for Time-Varying Autoregression and Time-Frequency Analysis — Scott H. Holan, University of Missouri ; Wen-Hsi Yang, CSIRO ; Christopher K. Wikle, University of Missouri
- Switching Dynamic Factor Models for High-Dimensional Time Series — Rong Chen, Rutgers University
Thursday, August 13:
Session: Privacy preservation and the use of synthetic data for public use statistics - Contributed Papers
Chair: Jerry Reiter, Duke University; Organizer: Lars Vilhuber, Cornell University
Speakers:
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"Synthetic Data Generation for Firm Links", Satkartar Kinney, NISS; Jerry Reiter, Duke University
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"Assessing the Data Quality of Public Use Tabulations Produced from Synthetic Data: Synthetic Business Dynamics Statistics", Lars Vilhuber, Cornell University; Javier Miranda, U.S. Census Bureau
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"Editing, Imputation, and Synthesis: A Public Use File for the Census of Manufactures", Hang Kim, NISS/Duke University; Jerry Reiter, Duke University
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"Differential Privacy and Verification of Results", David McClure; Jerry Reiter, Duke University; Ashwin Machanavajjhala, Duke University
Discussant: John Abowd, Cornell University