科学研究
学术报告
Convergence to stochastic integrals: beyond the semi-martingale
发布时间:2014-11-27浏览次数:

意昂4娱乐数学系学术报告

题 目:Convergence to stochastic integrals: beyond the semi-martingale

报告人:Wang Qiying 教授

(澳大利亚,悉尼大学)

【摘要】On the convergence to stochastic integrals, most of previous works imposed a semi-martingale structure in establishing the asymptotics. This semi-martingale structure is not sufficiently general in many econometric applications, particularly in framework of cointegration. In this paper, we investigate the convergence to stochastic integrals beyond the semi-martingale. It is shown that limitation is essentially different if the semi-martingale innovation is replaced by a linear process or a sequence of mixing random variables, extending earlier results of Ibragimov and Phillips (2008) and De Jong (2002).

时间🧚🏿🕜:2014年11月27日(周四)下午16:00开始

地点:数学系致远楼201小会议室(二楼)

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