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Minimum contrast estimator for fractional Ornstein-Uhlenbeck processes 被引量:3

Minimum contrast estimator for fractional Ornstein-Uhlenbeck processes
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摘要 This paper proposes a minimum contrast methodology to estimate the drift parameter for the Ornstein-Uhlenbeck process driven by fractional Brownian motion of Hurst index, which is greater than one half. Both the strong consistency and the asymptotic normality of this minimum contrast estimator are studied based on the Laplace transform. The numerical simulation results confirm the theoretical analysis and show that the minimum contrast technique is effective and efficient. This paper proposes a minimum contrast methodology to estimate the drift parameter for the Ornstein-Uhlenbeck process driven by fractional Brownian motion of Hurst index, which is greater than one half. Both the strong consistency and the asymptotic normality of this minimum contrast estimator are studied based on the Laplace transform. The numerical simulation results confirm the theoretical analysis and show that the minimum contrast technique is effective and efficient.
出处 《Science China Mathematics》 SCIE 2012年第7期1497-1511,共15页 中国科学:数学(英文版)
基金 National Science Fund for Distinguished Young Scholars of China (Grant No. 70825005) National Natural Science Foundation of China (Grant No. 71171086) Natural Science Foundation of Guangdong Province of China (Grant No. S2011040005723) the Fundamental Research Funds for the Central Universities, SCUT (2012ZM0029) supported by GDUPS(2010)
关键词 minimum contrast estimator fractional Brownian motions Ornstein-Uhlenbeck process strongconsistency asymptotic normality 低对比度 估计 Hurst指数 小数 分数布朗运动 拉普拉斯变换 渐近正态性 参数漂移
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