受国际合作处资助，应002资讯网靳水林副教授的邀请，美国统计学会会士、德州大学Betty Wheless Trotter教授武虎林将于近日来访公司并做报告，欢迎感兴趣的师生参加。

1. Use data to build differential equation models with applications: past, current and future

2. 科研论文撰写

摘要：Differential equations are widely used to describe dynamic processes and systems in many scientific fields such as engineering, physics, chemistry, social sciences, economy, biology and biomedical sciences. However, both model structures and model parameters need to be determined based on experimental data and mechanisms of the dynamic systems. It is very challenging to solve the inverse problems of differential equation models by rigorously using experimental data to develop and validate the differential equation models. In this talk, I will go over statistical methodologies for parameter estimation and model evaluation of different ordinary differential equation (ODE) models that have been developed in the past decade by our group and other colleagues. This will include model parameter identifiability, model structure identification, parameter estimation, model validation and evaluation based on experimental data. Experimental data from recent studies from different fields will be used to illustrate the ODE modeling principles. The current status and future development for constructing differential equation models based on data will be discussed.   

时间和地点：2019.06.28  14:00-17:10格物楼503

报告人简介：武虎林，德州大学Betty Wheless Trotter教授，美国统计学会会士，美国国家卫生研究院(NIH)基金项目评审委员会常任委员，曾担任纽约罗彻斯特大学医学中心生物统计学和计算生物学系教授、美国前沿科学技术研究基金会统计数据分析中心首席统计学家等。现担任国际生物统计学会旗舰期刊Biometrics副主编，泛华统计学会终身会员、国际工业与应用数学学会终身会员等。在JASA等统计顶级期刊发表130余篇论文，出版专著2部。