【5月26日】统计学学术讲座

主题： A semi-parametric model for trajectory analysis with an application to height of children

主讲人：Jianxin Pan, The University of Manchester, UK.

时间：2017年5月26日（周五）下午15:00

地点：北院卓远楼305

Abstract:
In this talk we will focus on trajectory analysis that applies finite mixture modelling to longitudinal data. The paper introduces new modelling tools using semi-parametric regression methods. A normal mixture is proposed such that the model contains one smooth term and a set of possible linear predictors. Model terms are estimated using a penalized likelihood method with the EM-algorithm. The paper also introduces a computationally appealing alternative that provides an approximate solution using an ordinary linear model methodology developed for mixture regression and trajectory analysis. Simulation experiments and a real data example of height curves of 4,223 Finnish children illustrate the methods.

潘建新教授简介：英国曼彻斯特大学数学学院统计系教授，我校统计与数学学院特聘教授。于1996年在香港浸会大学获统计学博士学位。其研究方向包括纵向数据分析、生存数据分析、广义估计方程、生长曲线模型、均值与方差的同时建模，缺失数据问题及统计诊断。潘建新教授致力于统计方法的研究及其在生物、医学及金融领域内的应用研究。2002年在Springer出版社出版《生长曲线模型及统计诊断》专著（英文版；与方开泰教授合著）。目前担任Biometrics杂志编委（Associated Editor）。