Small Area Estimation and Other Topics of Current Interest in Surveys, Official Statistics, and General Statistics:
(SAE 2018)
June 16 – June18, 2018
program
Invited Session
Session I: Advancing the Theory and Application of SAE
Organizer: Jiming Jiang, University of California, Davis, USA
Motivation: This invited session will bring together a number of recent developments ranging from theoretical and methodological research in SAE and application of SAE in health sciences. The theoretical/methodological developments include model diagnostics in SAE, and prediction of outcomes of interest in health science using SAE techniques. The application development includes SAE methods in clinical trials. Below are the invited speakers and tentative titles of their talks:
[1].A Unified Approach to Goodness-of-fit Tests with Application to Small Area Estimation
Mahmoud Torabi, University of Manitoba, Canada.
[2]. Predicting Outcomes of Interest in Health/Medical Studies Using SAE Techniques
Thuan Nguyen, Oregon Health & Science University, USA
[3]. Application of Small Area Estimation in Clinical Trials
Angela Tang, Amgen Inc., Shanghai, China
Session II: Time Series Problems in Repeated Surveys
Organizer:William Bell, U.S. Census Bureau
Motivation: Along with his research on small area estimation and survey inference generally, another important area of Danny Pfeffermann’s research that relates to official statistics has been his work on time series methods for repeated surveys, and particularly on seasonal adjustment of time series from repeated surveys. I thus spoke to Danny at the end of the SAE 2017 conference about trying to put together a session for SAE 2018 with talks on this topic, and he liked the idea.
It took some time, but I have managed to put together the following slate of talks. I have to acknowledge that Duncan Elliott says he will not get a final decision on funding from ONS (and hence, effectively, on approval to make the trip) until January. I also do not yet have fina l approval to attend, which I believe is the case for all the other Census Bureau participants. In our case this is due to just general budget uncertainty. Below are the invited speakers and tentative titles of their talks:
[1].Real-time estimation of monthly unemployment with dynamic factor and time-varying state space models
Caterina Schiavoni (presenting author) and Jan van den Brakel, Statistics Netherlands and Heerlen and Maastricht University School of Business and Economics
Franz Palm and Stephan Smeekes, Maastricht University School of Business and Economics
[2].Improving timeliness and accuracy of estimates from the UK Labour Force Survey
Duncan Elliott, UK Office for National Statistics
[3]. A Review of the Problem of Seasonal Adjustment Variances
William R. Bell, U.S. Census Bureau
Session III: New developments on the estimation of discontinuities in sample surveys
Organizer: N. Tzavidis, Southampton University
Motivation: Many Official statistics rely on survey data collection, and much of the value in such surveys lies in their continuity, enabling developments in society and the economy to be monitored, and policy actions decided. This is often an argument to keep survey processes of repeated surveys unchanged as long as possible. From time to time changes in surveys are needed to improve the efficiency, reduce the survey related costs, or meet new requirements, and this is seen strongly in the use of mixed mode surveys including web-based questionnaires in official statistics. These changes affect the survey outputs. To avoid the implementation of a new survey process disturbing the comparability of estimates over time, it is important to quantify the impact on the estimates of a repeated survey. In this session three papers present recent developments of statistical methods aimed to quantify such discontinuities at domain level. Below are the invited speakers and tentative titles of their talks:
[1].Using state space models for an efficient parallel run design and measuring statistical impacts of Australian Labour Force Survey Redesign
Xichuan (Mark) Zhang, Australian Bureau of Statistics, Canberra.
[2].Hierarchical Bayesian multivariate Fay-Herriot model for estimating domain discontinuities in the Dutch Crime Victimization Survey
Jan van den Brakel, Statistics Netherlands and Maastricht University
[3]. Small Domain Estimation for discontinuities in the National Survey for Wales
Timo Schmid, Free University of Berlin
Session IV: Inference under Informative Selection in ComplexSurveys
Organizer: F. Jay Breidt,Colorado State University
Invited Speakers:
[1].M. Giovanna Ranalli, University of Perugia
[2]. Daniel Bonnery, Joint Program in Survey Methodology, University of Maryland
[3]. Michael Sverchkov, US Bureau of Labor Statistics
Session V: Information Sampling
Organizer: Chris Skinner,The London School of Economics and Political Science
Invited Speakers:
[1].Perugiaay Chambers, Univ. Wollongong, Australia
[2]. Jae-Kwang Kim, Iowa State Univ.
[3]. Chris Skinner,The London School of Economics and Political Science
Session VI: Non-probability Samples and Robust Inferences for Survey Data
Organizer: Changbao Wu, University of Waterloo, Canada
Invited Speakers:
[1].David Haziza, University of Montreal, Canada
[2]. Christian Leger, University of Montreal, Canada
[3]. Changbao Wu, University of Waterloo, Canada
Session VII: Challenging Issues in Survey and Small Area Estimation
Organizer: Dongchu Sun, University of Missouri, East China Normal Univeristy
Invited Speakers:
[1].Zhengyuan Zhu, Iowa State University,
[2]. Marco Ferreira, Virginia Tech
[3]. Garritt Page, Brigham Young University
Session VIII:Adjusting Nonresponse Biases
Organizer: Zhuoqiong He, University of Missouri
Invited Speakers:
[1].Small Area Challenges in the Conservation Effects Assessment Project
Emliy Berg, Iowa State University
[2]. Jing Cao, Southern Methodist University
[3]. Ye Liang, Aklahoma State University
Session IX:Adjusting Nonresponse Biases
Organizer: Asis Kumar Chattopadhyay, University of Calcutta, India
Invited Speakers:
[1].Ranjeev Misra, Inter University Center for Astronomy and Astrophysics (IUCAA)
[2]. Didier Fraix Burnet, CNRS, Institut de Planétologie et d'Astrophysique de Grenoble
[3]. Tanuka Chattopadhyay, Department of Applied Mathematics, University of Calcutta, India
[4].Asis Kumar Chattopadhyay, University of Calcutta, India
Session X:
Organizer: YinChun Zhou, East China Normal University
Invited Speakers:
[1].Yongjin Jin, RenMin University, China
[2]. Yukun Liu, EastEs China Normal University
Session XI: SAE for Surveys
Organizer: Yang Cheng
Invited Speakers:
[1].No Calculation When Observation Can Be Made
Tommy Wright
[2]. Prediction and inference in small areas using constrained optimization
Ansu Chatterjee
[3].Integration of Monthly State CPS estimates and Annual County-level ACS estimates to obtain Monthly County-level Labor Force estimates
Dick Tiller
[4]. Hybrid BRR and Parametric-Bootstrap Variance Estimates for Small Domains in Large Surveys
Eric Slud
[5].Small Area Models for Over-dispersed Poisson Counts
Jerry Maples
[6]. Fixed-Effect Log-Linear Models for Small Area Estimation in presence of relatively Sparse Contingency Tables
Yves Thibaudeau
[7]. Gauri Datta, University of Georgia
Session XII: Recent Development of Big Data
Organizer: Yang Cheng
Invited Speakers:
[1].Analysis of longitudinal data with omitted asynchronous longitudinal covariate
Hongyuan Cao, University of Missouri
[2]. Genomic mediation analysis across many human tissues
Lin Chen, University of Chicago
[3]. Lan Liu, University of Minnesoda
Small area estimation介绍.pdf
SAE-short course 1(15,Jun).doc
SAE_short course 2(15,Jun).doc