Speaker：Liqun Wang
Abstract:
In this talk, I will first show some examples of measurement error and demonstrate its impact in linear and logistic regression models. Then I'll introduce the instrumental variable method for bias correction and apply it to various models with complex data structures that are widely used in practical data analysis. Finally, this method isextended to the high-dimensional variable selection problem.
Time: December25th14:30
Venue：Lecture Hall,1th Floor, School of Mathematics and Statistics
Speaker Introduction:
Liqun Wang is a professor and head of the Department of Statistics at the University of Manitoba, Canada. He was a post-doctoral fellow at the Universities of Dortmund and Hannover, Germany, and an assistant professor at the University of Basel, Switzerland. He is an Editor-in-Chief of Springer journal Statistical Papers, anassociate editor of Canadian Journal of Statistics, and a Guest Editor of the International Journal of Quality Technology and Quantitative Management. He is also an Elected Member of the International Statistical Institute (ISI).
