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ON THE SINGULARITY OF LEAST SQUARES ESTIMATOR FOR MEAN-REVERTING α-STABLE MOTIONS
引用本文:胡耀忠,龙红卫.ON THE SINGULARITY OF LEAST SQUARES ESTIMATOR FOR MEAN-REVERTING α-STABLE MOTIONS[J].数学物理学报(B辑英文版),2009,29(3):599-608.
作者姓名:胡耀忠  龙红卫
作者单位:Hu Yaozhong(Department of Mathematics, University of Kansas, 605 Snow Hall, Lawrence, Kansas 66045-P142, USA);Long Hongwei(Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, Florida 33431-0991, USA)  
基金项目:国家自然科学基金,FAU Staxt-up funding at the C. E. Schmidt College of Science 
摘    要:We study the problem of parameter estimation for mean-reverting α-stable motion, dXt = (a0 - θ0Xt)dt + dZt, observed at discrete time instants. A least squares estimator is obtained and its asymptotics is discussed in the singular case (a0, θ0) = (0, 0). If a0 = 0, then the mean-reverting α-stable motion becomes Ornstein-Uhlenbeck process and is studied in 7] in the ergodic case θ0 〉 0. For the Ornstein-Uhlenbeck process, asymptotics of the least squares estimators for the singular case (θ0 = 0) and for ergodic case (θ0 〉 0) are completely different.

关 键 词:最小二乘估计  稳定运动  奇异性  回复  平均  参数估计  离散时间  遍历
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