Changbao Wu, Professor
Statistics and Actuarial Science, University of Waterloo
We provide an overview of recent development of statistical methodologies for analyzing non-probability survey samples. Inferential frameworks, critical assumptions and the required supplementary population information are discussed. Three general approaches to inference, namely, inverse probability weighting, mass imputation, and doubly robust estimation procedures, are presented. Practical issues in dealing with feasibilities of the assumptions and incomplete sampling frames are also discussed.
- Doubly Robust Inference With Nonprobability Survey Samples by Yilin Chen, Pengfei Li and Changbao Wu
- Combining non-probability and probability survey samples through mass imputation by Jae Kwang Kim, Seho Park, Yilin Chen and Changbao Wu