Changbao Wu (University of Waterloo)
DateFriday October 7, 2022
2:30 pm - 3:30 pm
LocationJeffery Hall, Room 234
Math & Stats Department Colloquium
Friday, October 7th, 2022
Time: 2:30 p.m. Place: Jeffery Hall, Room 234
Speaker: Changbao Wu (University of Waterloo)
Title: Recent Developments in Analysis of Non-Probability Survey Samples
Abstract: We provide a critical review and some extended discussions on theoretical and practical issues with analysis of non-probability survey samples. We attempt to present rigorous inferential frameworks and valid statistical procedures under commonly used assumptions, and address issues on the justification and verification of assumptions in practical applications. Some current methodological developments are showcased, and problems which require further investigation are mentioned. While the focus of the talk is on non-probability samples, the essential role of probability survey samples with rich and relevant information on auxiliary variables is highlighted.
Changbao Wu is Professor of Statistics and Chair of the Department of Statistics and Actuarial Science at the University of Waterloo. His main research interests include design and analysis of complex surveys, resampling techniques, missing data analysis and causal inference, and integration of data from multiple sources. He is Fellow of ASA, Fellow of IMS, Elected Member of ISI, and was the winner of the CRM-SSC Prize in Statistics in 2012. He has served on several editorial boards including Survey Methodology, The Canadian Journal of Statistics, Journal of the American Statistical Association (Theory \& Methods) and Biometrika. He is the lead author of the book “Sampling Theory and Practice” (with Mary Thompson) published by Springer in 2020. He has also served on Statistics Canada’s Advisory Committee on Statistical Methods since 2015.