应beat365官方网站的邀请，加拿大UBC大学Lang Wu教授将于近期访问我校，并作以下学术报告：

        报告题目：One-Sided Tests for Multivariate and Longitudinal Data with Missing Values
        时    间：5月12日(周一)下午3:00
        地    点：理科楼122室

        摘要：
        Multivariate one-sided hypotheses testing problems arise frequently in practice. For example, we may wish to compare the economic developments of two regions or compare air pollutions of two regions. In practice, there are often missing values or dropouts. In this case, standard testing procedures based on complete data may not be applicable or may perform poorly if the missing data are discarded. In this talk, we propose several multiple imputation methods for multivariate one-sided testing problem with arbitrary missing data. We also consider constrained inference for nonlinear mixed effects models for longitudinal data.  

        欢迎感兴趣的师生参加！