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  • 统计与管理学院2018年学术报告第18期

    【主 题】 A Deep Learning Perspective of Recursive Partitioning Based Methods

    【报告人】 Heping Zhang  教授

    Susan Dwight Bliss Professor of Biostatistics

    Yale University School of Medicine

    【时 间】 2018年05月29日(星期二)10:00-11:00

    【地 点】 上海财经大学统计与管理学院大楼1208会议室

    摘 要】Unlike any other method, deep learning has come as a forceful wave that knocked many of us to the sand, regardless of which direction we stood before. In this talk, I will begin with a brief introduction of the main steps of deep learning algorithm, and then use it to reflect on some of the statistical methods that I have developed over the past two decades, specifically classification trees for multiple binary responses (CTMBR) and multivariate adaptive splines for longitudinal data analysis (MASAL).  I will discuss the pros and cons of these methods, and offer my own perspective in our missed opportunities as well as new challenges and opportunities.  

    【嘉宾简介】Heping Zhang, Ph.D., is Susan Dwight Bliss Professor of Biostatistics, Professor of Statistics, and Professor in the Child Study Center at Yale University. He has founded and been directing the Collaborative Center for Statistics in Science at Yale. He is also an honorary professor of the University of Hong Kong, a 1000-plan scholar appointed by Chinese Ministry of Organization, and was a Chang-Jiang scholar at Sun Yat-Sen University appointed by Chinese Ministry of Education. He received his B.S in Mathematics from Jiangxi Normal University in 1982 and his Ph.D. in Statistics from Stanford University in 1991.  He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics (IMS). He is the founding Editor-in-Chief of Statistics and Its Interface. He currently serves on the editorial boards of the Journal of the American Statistical Association (JASA), Genetic Epidemiology, and Fertility and Sterility. He was 2008 Myrto Lefkopoulou Distinguished Lecturer of Harvard School of Public Health, and 2011 IMS Medallion Lecturer, a recipient of 2011 Royan International Research Award in Reproductive Health, and a 2013 recipient of Scientific Program Prize Paper by the American Society for Reproductive Medicine. His research interests include nonparametric methods, longitudinal data, statistical genetics and bioinformatics, clinical trials, statistical modeling of epidemiological data, brain imaging analysis, statistical computation, and statistical methods in behavioral sciences.  He is an author of a book on Recursive Partitioning and Its Applications published by Springer, and has also published over 270 peer-reviewed articles in high impact statistical, genetic, epidemiological, and psychiatric journals including the Annals of Statistics, Biometrika, JASA, JRSS-B, American Journal of Human Genetics, American Journal of Psychiatry, PNAS, Science, and the New England Journal of Medicine.