Changbao Wu's personal website
Professor Wu has a primary research interest in the design and analysis of complex surveys. His research also covers more broad topics including semiparametric and nonparametric methods, resampling (jackknife and bootstrap) techniques, missing data and measurement error problems. He has worked extensively on empirical likelihood (EL) methods and related computational procedures, with strong interest in developing R packages for practical implementations of the EL methods.
Changbao obtained his PhD in statistics in August 1999 from Simon Fraser University under the supervision of Professor Randy Sitter. He has been a faculty member at Waterloo since September 1999. He is a Fellow of the American Statistical Association (ASA), an Elected Member of the International Statistical Institute (ISI), and the 2012 recipient of CRM-SSC Prize in Statistics. He is currently Associate Editor of Survey Methodology (since 2006), Biometrika (since 2008) and Journal of Nonparametric Statistics (since 2011). He is also a member of Statistics Canada’s Advisory Committee on Statistical Methods.
- Wu, C. and Lu, W.W. (2015). Calibration Weighting Methods for Complex Surveys. International Statistical Review, to appear. DOI: 10.1111/insr.12097
- Chen, M., Wu, C. and Thompson, M.E. (2015). An Imputation-based Empirical Likelihood Approach to Pretest-Posttest Studies. The Canadian Journal of Statistics, 43, 378-402.
- Zhao, J., Cook, R.J. and Wu, C. (2015). Multiple Imputation for the Analysis of Incomplete Compound Variables. The Canadian Journal of Statistics, 43, 240-264.
- Tan, Z. and Wu, C. (2015). Generalized Pseudo Empirical Likelihood Inferences for Complex Surveys. The Canadian Journal of Statistics, 43, 1-17.
- Wu, C., Thompson, M.E., Fong, G.T. (2015). Methods of the Inter- national Tobacco Control (ITC) China Survey: Waves 1, 2, and 3. Tobacco Control, to appear. DOI: 10.1136/tobaccocontrol-2014-052025
- Chen, Z., Yi, G. Y. and Wu, C. (2014). Marginal Analysis of Longitudinal Ordinal Data with Misclassification in Both Response and Covariates. Biometrical Journal, 56(1), 69-85.
- Kim, J.K. and Wu, C. (2013). Sparse and Efficient Replication Variance Estimation for Complex Surveys. Survey Methodology, 39, 91-120.
- Wu, C. and Yan, Y. (2012). Weighted Empirical Likelihood Inference for Two-sample Problems. Statistics and Its Interface, 5, 345-354.
- Chen, Z., Yi, G.Y. and Wu, C. (2011). Marginal Methods for Correlated Binary Data with Misclassified Responses. Biometrika, 98, No. 3, 647-662.
Carrillo, I.A., Chen, J. and Wu, C. (2011). Pseudo-GEE Approach to Analyzing Longitudinal Surveys under Imputation for Missing Re- sponses. Journal of Official Statistics, 27, 255-277.
- Rao, J.N.K. and Wu, C. (2010). Pseudo Empirical Likelihood Inference for Multiple Frame Surveys. Journal of the American Statistical Association, 105, 1494-1503.
Rao, J.N.K. and Wu, C. (2010). Bayesian Pseudo Empirical Likelihood Intervals for Complex Surveys. Journal of the Royal Statistical Society, Series B, 72, 533-544.
Carrillo, I.A., Chen, J. and Wu, C. (2010). The Pseudo-GEE Approach to the Analysis of Longitudinal Surveys. The Canadian Journal of Statistics, 38, 540-554.
Qin, Y.S., Rao, J.N.K. and Wu, C. (2010). Empirical Likelihood Con- fidence Intervals for the Gini Measure of Income Inequality. Economic Modelling, 27, 1429-1435.
- Wu, C., Thompson, M.E., Fong, G.T., Jiang, Y., Yan, Y., Feng, G. and Li, Q. (2010). Methods of the International Tobacco Control (ITC) China Survey. Tobacco Control, 19 (Suppl 2), i1-i5.
- Wu, C. and Rao, J.N.K. (2010). Bootstrap Procedures for the Pseudo Empirical Likelihood Method in Sample Surveys. Statistics and Probability Letters, 80, 1472-1478.