报告题目：Identification of rhythmic signals in oscillatory systems with applications to chronobiology
报 告 人：Shyamal Peddada 教授 美国匹兹堡大学
报告时间：2019年7月10日下午2:10-2:50
报告地点：数学楼一楼第一报告厅
报告摘要:
There is a growing interest in studying oscillatory systems in a wide range of applications. For example, in pharmacology researchers are interested in understanding circadian clock and estimating the time to peak expression of circadian genes as they may play a critical role in determining optimal time of treatment. Astrophysicists are interested in identifying temporal patterns in the light emitted by stars to classify stars into groups, and so on. In each of these cases, the fundamental and challenging question of interest is to identify components in the oscillatory system that display a rhythmic pattern. In this talk we describe a very simple and yet a very general framework using constrained statistical inference based methods. The resulting methodology is robust to the shape of the pattern, thus the method does not limit to cosine type curves. The resulting methodology is applied to some well-known circadian clock data.
报告人简介：
Shyamal Peddada自2017年起担任美国匹兹堡大学公共卫生院生物统计系教授和系主任。他于1983年在美国匹兹堡大学数学系获得博士学位，在C. R. Rao教授的指导下。在此之前，他是美国国立卫生研究院NIEHS生物统计学和计算生物学分部的高级研究员。Peddada教授为约束统计推断（参数和非参数），分析微生物组数据和基因表达研究的方法学做出了重要贡献。他还在各个科学领域做出了重要贡献，如女性肌瘤的生长，毒理学和毒理基因组学，婴儿和母体肠道微生物组和表观遗传学。他开发的软件包，用于分析微生物组数据的ANCOM和基因表达研究的ORIOGEN，被研究人员广泛使用。Peddada教授是美国统计协会杰出统计应用奖的获得者。他是美国统计协会和国际统计协会的当选会员。他曾担任JASA的副主编。
