Survey Methodology
Comments by Zhonglei Wang and Jae Kwang KimNote 1 on “Statistical inference with non-probability survey samples”
- Release date: December 15, 2022
Abstract
Statistical inference with non-probability survey samples is a notoriously challenging problem in statistics. We introduce two new methods of nonparametric propensity score technique for weighting in the non-probability samples. One is the information projection approach and the other is the uniform calibration in the reproducing kernel Hilbert space.
Key Words: Information projection; Uniform function calibration; Data integration.
Table of contents
- Section 1. Introduction
- Section 2. Information projection approach
- Section 3. Uniform calibration approach
- Section 4. Concluding remarks
- References
How to cite
Wang, Z., and Kim, J.K. (2022). Comments on “Statistical inference with non-probability survey samples”. Survey Methodology, Statistics Canada, Catalogue No. 12-001-X, Vol. 48, No. 2. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2022002/article/00007-eng.htm.
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