報告題目:  Testing Multivariate Quantile by Empirical Likelihood 

報告時間💇‍♀️：2019年4月15日15：00

報告地點：凯捷体育注册335會議室

摘要：In the paper, a new method called mean-of-quantile is introduced to estimate multivariate quantiles.  The consistency and asymptotic normality of mean-of-quantile estimators are investigated. Furthermore, we apply empirical likelihood to mean-of-quantile estimators. The effectiveness of new method are illustrated by Monte Carlo simulations and an empirical example. 

主講人簡介🤷🏼‍♀️🏌🏼‍♂️：周望，新加坡國立大學終身教授，博士生導師。主要從事統計學的理論與應用研究，在高維數據估計、高維數據檢驗、數據降維🗯、大維數據隨機矩陣領域取得了重要的成果。迄今為止👨🏽‍🦲，在Annals of Statistics, Journal of American Statistical Association, Journal of Royal Statistical Society（B）, Biometrika, Bernoulli, Journal of Econometrics🚵🏽‍♂️，Trans. Amer. Math. Soc.🫥，Annals of Probability🤸🏻，Annals of Applied Probability等國際頂級期刊發表論文近60篇🧚‍♂️。2012年成為國際統計學會（Elected Member of International Statistical Institute）當選成員。