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學(xué)術(shù)動態(tài)

Qiying Wang:Self-weighted LS estimation for nonlinear cointegrating regression
2022年12月01日 | 點擊次數(shù):

報告承辦單位: 數(shù)學(xué)與統(tǒng)計學(xué)院

報告題目: Self-weighted LS estimation for nonlinear cointegrating regression

報告內(nèi)容: This paper establishes a new framework on self-weighted least squares estimation that is easy to apply for various nonlinear regression models with heteroscedasticity. This paper explores the applications of this framework to various nonlinear cointegrating regression models.

報告人姓名: Qiying Wang

報告人所在單位:The University of Sydney

報告人職稱:教授

報告時間:2022年122, 星期五,上午10:00-11:00

在線報告:騰訊會議號碼396-616-314

報告人簡介王啟應(yīng),澳大利亞悉尼大學(xué)教授。主要研究方向為:Nonstationary time series econometrics, Financial Econometrics,Nonparametric statistics,Econometric Theory, Self-normalized limit theory.王啟應(yīng)教授在概率統(tǒng)計學(xué)與計量經(jīng)濟學(xué)頂級專業(yè)學(xué)術(shù)期刊The Annals of Probability, The Annals of Statistics、Econometric Theory以及Journal of Econometrics等雜志上發(fā)表論文二十余