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Least squares estimator for Ornstein-Uhlenbeck process driven by Hermite process with periodic me

发布时间:2021-06-05     来源:    点击数:

报告题目: Least squares estimator for Ornstein-Uhlenbeck process driven by Hermite process with periodic mean

主 讲 人: 申广君(安徽师范大学)

报告时间:2021618日(周五)15:30-16:30

报告地点:腾讯会议 ID241 928 274

点击链接入会:https://meeting.tencent.com/s/cl437q6yTBPW

 

报告摘要:

In this talk, we consider the least square estimator for the parameters of Ornstein-Uhlenbeck processes driven by the Hermite processes with periodic mean, where order q> 1 and Hurst index H in (0.5, 1). We establish the consistency of least squares estimation and obtain the asymptotic behavior for the estimator. We also introduce alternative estimators, which can be looked as an application of the least squares estimator. In comparison with the fractional Ornstein-Uhlenbeck processes with periodic mean, our work can be regarded as its non-Gaussian extension [joint work with Qian Yu and Zheng Tang].

 

主讲人简介:

申广君,理学博士、教授、博士生导师,安徽省学术和技术带头人,安徽省杰出青年科学基金获得者,安徽师范大学文津学者。主要研究方向是随机分析和随机过程。在国际SCI期刊发表研究论文40余篇,主持两项国家自然科学基金面上项目等项目。

 

主办单位:山东大学金融研究院,山东大学数学学院

 

邀请人:王汉超

 

欢迎各位老师同学积极参加!

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