报告人：Arup Bose
报告地点：MK官方APP下载415会议室
报告时间：2019年12月08日星期日10:30-11:30
邀请人：郑术蓉
报告摘要：
We consider a class of high dimensional time series models. The sample autocovariances carry crucial statistical information on the model.
We study the joint convergence of the symmetrized version of these matrices in two senses: the algebraic sense (tracial convergence) and the existence of the limit spectral distribution of any symmetric polynomial of these matrices.
The limit description involve non-commutative variables which are free.
主讲人简介：
Arup Bose is a Professor at the Indian Statistical Institute. He has been holding the J.C.Bose Fellowship since 2009. He is an elected Fellow of the Institute of Mathematical Statistics (USA), and all three national sciences academies of India. He is also an elected member of the International Statistical Institute. He has been an Invited speaker at the ICM 2010 and a Distinguished Lecturer at the 2nd APRM.
He is a winner of the Shanti Swarup Bhatnagar Award in Mathematical Sciences, the National Award in Statistics as well as the Young Researcher Award of IISA (USA).
His current research interests are in Large dimensional random matrices, Free probability, High Dimensional Time series and Moral hazard problems in economics.
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