Department of Statistics and Actuarial Science
University of Waterloo
CANADA N2L 3G1
(519) 888-4567, ext. 35537
Fax: (519) 746-1875
Office: Math & Computer 6148
Research and Scholarly Interests
Professor Wu has a primary research interest in the design and analysis of complex surveys, particularly the efficient use of information from different sources for more reliable inference. He also works on resampling techniques, the empirical likelihood method, and various applied statistical problems.
In sample surveys, one of the major tasks is to obtain more accurate estimates of population quantities using all available information. A popular technique, termed the calibration method, has been widely used by survey statisticians during the past decade. Professor Wu has made fruitful contributions in this area, developing a unified framework for the estimation of different types of population parameters, such as totals, quantiles, and variances, through the so-called model-calibration approach. He also established the optimality of these estimators under a chosen working model, which in turn provides guidelines for practical applications of the method.
Another major focus of Professor Wu’s research in recent years has been the development and implementation of empirical likelihood methods for sample surveys. He has been working on methodological issues arising when using the method for the analysis of complex survey data, and developing computational algorithms to make the method fully accessible to practitioners.
Professor Wu has been involved in several applied projects of great social and economical significance. One of these projects, the estimation of fish abundance indices based on trawl surveys, is supported by the Department of Fisheries and Oceans and a major fishing company in Canada. The most recent project, the International Tobacco Control Survey, plays a key role in evaluating the effect of policy initiatives on tobacco control in many countries, including Canada, the US, the UK, Australia, and China. (more)
- Qin, Y.S., Rao, J.N.K. and Wu, C. (2009). Empirical Likelihood Confidence Intervals for the Gini Measure of Income Inequality. invited submission.
- Rao, J.N.K. and Wu, C. (2009). Bayesian Pseudo Empirical Likelihood Intervals for Complex Surveys. Under review.
- Wu, C. and Rao, J.N.K. (2009). Bootstrap Procedures for the Pseudo Empirical Likelihood Method in Sample Surveys. Under review. (more)
Professor Wu maintains an active and productive network of research collaborations. He is a frequent visitor to Simon Fraser University, the University of Victoria, Carleton University, and Statistics Canada, and has connections to several other researchers in the US, Singapore, and China.
Professor Wu is the project leader of the sampling group of the National Program on Complex Data Structures and a member of a closely related MITACS project. He has served as president of the Survey Methods section of the Statistical Society of Canada, and has organized several invited-paper sessions at the annual meetings of SSC, the Joint Statistical meetings, and the international conference of ICSA.