报告人：Liqun Wang University of Manitoba教授
报告摘要：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 is extended to the high-dimensional variable selection problem.
Liqun Wang is 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.
Liqun Wang has been an Editor-in-Chief of Springer journal Statistical Papers, an Associate Editor of Canadian Journal of Statistics, and a Guest Editor of the International Journal of Quality Technology and Quantitative Management. He is an Elected Member of the International Statistical Institute (ISI).