2013-14: CMSS: Computational Methods for Censuses and Surveys: January 8-10, 2014

Workshop Information

January 8, 2014 - 8:00am - January 10, 2014 - 1:00pm

Location: Bureau of Labor Statistics Conference Center, Rooms 1-3
Postal Square Building
2 Massachusetts Avenue, NE
Washington, DC 20212

This two-and-a-half day workshop, held at the Bureau of Labor Statistics in Washington, DC, involved roughly 12-15 invited talks along with formal panel discussions, a poster session, and time available for informal collaboration-building discussions.

The workshop was part of SAMSI's 2013-14 program on Computational Methods in Social Sciences (CMSS). For many years, practical work with censuses and surveys has involved complex methodological issues. Standard approaches have addressed some of these issues in a reasonably comprehensive form, while leaving other issues with unsatisfactory or incomplete solutions. In addition, large-scale statistical organizations are now encountering important new methodological opportunities and challenges arising from prospective new data sources; and from changes in salient features of the data–collection environment, resource constraints and cost structures. Addressing these issues requires modern statistical methodology and novel computational approaches.

This workshop, in conjunction with other CMSS activities, brought together researchers and practitioners from academia, statistical agencies, and survey organizations to discuss recent research advances and needs related to the abovementioned challenges and opportunities.

RELATED EVENT

On January 7, 2014, Stephen Fienberg of Carnegie Mellon University was the featured speaker at the 23rd Morris Hansen Lecture that took place at the US Department of Agriculture. Further details are here.

Schedule
Participant List
Speaker Titles and Abstracts
Poster Titles

Schedule

Wednesday, January 8, 2014
Washington, DC

9:00-9:30 a.m. Registration
9:00-9:15 Opening Remarks
  Session 1: Models for Longitudinal Surveys
Chair: Steve Fienberg
9:15-9:45 Mike Daniels, University of Texas
A Flexible Bayesian Approach to Longitudinal Studies with (Monotone) Nonignorable Missing Data with Extensions to Surveys
9:45-10:15 Daniel Manrique-Vallier, Indiana University
Mixed Membership Trajectory Models for Longitudinal Survey Data on Disability
10:15-10:45 Break
10:45-11:15 Jason Fields, U.S. Census Bureau
On the Shop Floor: Issues and Questions for Computational Methodologists from the SIPP Program. - Perspectives from a Large-Scale Longitudinal Survey
11:15-11:45 Discussion
11:45-1:30 Lunch on your own
  Session 2: Imputation in Complex Data
Chair: Richard Smith
1:30-2:00 Jared Murray, Duke University
Bayesian Nonparametric Models for Heterogenous Data
2:00-2:30 Hang Joon Kim, NISS and Duke University
Bayesian Automatic Editing
2:30-3:00 Thomas Mule, U.S. Census Bureau
Application of Administrative Records Usage for the Nonresponse Followup Operation in the Decennial Census
3:00-3:30 Discussion
3:30-5:00 Poster Session
SAMSI will provide poster presentation boards and tape. The board dimensions are 4 ft. wide by 3 ft. high. They are tri-fold with each side being 1 ft. wide and the center 2 ft. wide. Please make sure your poster fits the board. The boards can accommodate up to 16 pages of paper measuring 8.5 inches by 11 inches.

Thursday, January 9, 2014
Washington, DC

9:00-9:15 a.m. Opening Remarks
  Session 3: Integrated Data from Multiple Sources
Chair: Jerry Reiter
9:15-9:45 Scott Holan, University of Missouri
Spatial Fay-Herriot Models for Small Area Estimation with Functional Covariates
9:45-10:15 Tracy Schifeling, Duke University
Combining Information from Multiple Sources in Bayesian Modeling
10:15-10:45 Break
10:45-11:15 Nat Schenker, National Center for Health Statistics
Combining Information from Multiple Data Systems to Enhance Analyses Related to Health: Examples and Lessons Learned
11:15-11:45 Discussion
11:45-1:30 Lunch on your own
  Session 4: Record Linkage
Chair: Connie Citro
1:30-2:00 Roee Gutman, Brown University
Full Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
2:00-2:30 Rebecca C. Steorts, Carnegie Mellon University
Clustering Approaches to Human Rights Violations in Syria
2:30-3:00 Break
3:00-3:30 Mauricio Sadinle, Carnegie Mellon University
A Bayesian Framework for Duplicate Detection, Record Linkage, and Subsequent Inference with Linked Files
3:30-4:00 William Winkler, U.S. Census Bureau
Quality and Analysis of Sets of National Files
4:00-4:30 Discussion

Friday, January 10, 2014
Washington, DC

9:00-9:30 a.m. Working Groups Organize
9:30-11:00 Group Discussions
11:00-12:00 Report Back
12:00 Adjourn