2018.6.8-6.14 学术活动预告
2018/6/7 10:23:01 中国科学院数学与系统科学研究院
Speaker:
Prof. Hang Xue, Arizona University
Title:
Theta Lift and Gan-Gross-Prasad Conjectures (III)
Time & Venue:
2018.6.8 10:00-11:30 N818
Abstract:
This is a series of four lectures, at an instructional level, explaining what theta lift is and how it applies to the local and global Gan-Gross-Prasad conjectures. I will begin from the definition of theta lift and explain the seesaw type argument in both local and global settings. I will try to be as down-to-ground as possible and keep the prerequisite minimal, but we do expect the participants to know what automorphic representations are.
Speaker:
Tamás Rudas, Director-General, Centre for Social Sciences, Hungarian Academy of Sciences
Title:
Coordinate-free analysis of multivariate categorical data
Time & Venue:
2018.6.8 14:00-15:00 N222
Abstract:
In multivariate statistics, the sample space is usually the Cartesian product of the ranges of the variables involved. Even the simplest structures used in statistics, like independence, rely heavily on this structure. The talk introduces basic concepts of statistical modeling, which can be applied when the structure of the sample space is different. First, motivating examples are presented, then coordinate-free exponential families of probability distributions are introduced, which postulate simple multiplicative structures. In these families, the sample space is not necessarily a Cartesian product and the effects are not necessarily associated with cylinder sets. Also, the existence of an overall effect is not implied. Some of the properties of these families are similar to that of log-linear models, but the maximum likelihood estimates under these models have a few very surprising characteristics depending on whether the distributions in the family do or do not have an overall effect.
报告人简介：Tamas Rudas is Director-General of the Center for Social Sciences of the Hungarian Academy of Sciences, and Professor of Statistics at Eotvos Lorand University, Budapest. He is also an Affiliate Professor in the Department of Statistics of the University of Washington, Seattle, and formerly ha was President of the European Association of Methodology. His research concentrates on the analysis of categorical data and he has published papers, among others, in the Annals of Statistics, the Journal of the Royal Statistical Society, the Journal of Multivariate Analysis, the Scandinavian Journal of Statistics. His Lectures on Categorical Data analysis (Springer) appeared in April this year.
Speaker:
Dennis K.J. Lin, University Distinguished Professor, Department of Statistics, The Pennsylvania State University, University Park, USA.
Title:
The role of Statistics in Modern Data Sciences
Time & Venue:
2018.6.8 15:00-16:00 N222
Abstract:
With the merge of AI (artificial intelligent), IoT (Internet of Things) and BD-Stat (Big Data and Statistics), the modern Data Science (DS) is the final product. It is said that “Statistics can play in anyone else’s backyards,” but Statistics needs its own identity to be a professional discipline. This talk will discuss the role of Statistics in the era of Data Science and beyond. The past/present/future of AI, IoT & BD-Stat will be discussed. Specific examples and open discussion will be given in the talk.
报告人简介：Dr. Dennis K. J. Lin is a university distinguished professor of supply chain and statistics at Penn State University. His research interests are quality assurance, industrial statistics, data mining, and response surface. He has published more than 200 SCI/SSCI papers in a wide variety of journals. He currently serves or has served as associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a lifetime member of ICSA, and a fellow of RSS. He is an honorary chair professor for various universities, including a Chang-Jiang Scholar at Renmin University of China, Fudan University, and National Chengchi University (Taiwan). His recent awards including, the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), and the Shewhart Medal (ASQ, 2015). Last year, he was awarded the SPES Award at the 2016 Joint Statistical Meeting.
Speaker:
Dr. Lue Pan, Princeton University
Title:
Patching and the Fontaine-Mazur conjecture
Time & Venue:
2018.6.11/12 10:00-12:00 N818
Abstract:
I will first review the (classical) Taylor-Wiles-Kisin patching construction and its application for attacking some cases of the Fontaine-Mazur conjecture. Then I will introduce Emerton's completed homology for GL_2/Q and explain how to modify the patching argument in this setting. One key ingredient is Paskunas' work on the p-adic local Langlands correspondence for GL_2/Q_p.
Speaker:
Dr. Lue Pan, Princeton University
Title:
An introduction to the Fontaine-Mazur conjecture
Time & Venue:
2018.6.13 16:00-17:00 N913
Abstract:
The famous conjecture of Fontaine and Mazur predicts that certain l-adic Galois representations come from geometry. I will talk about some recent progress on this conjecture.
来源：中国科学院数学与系统科学研究院
中国科学院数学与系统科学研究院
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