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分式噪声驱动的一类随机偏微分方程的非参数估计}
引用本文:唐丹,王永进,张冠男.分式噪声驱动的一类随机偏微分方程的非参数估计}[J].数学年刊A辑(中文版),2013,34(5):627-642.
作者姓名:唐丹  王永进  张冠男
作者单位:对外经济贸易大学国际经济贸易学院, 北京 100029.;南开大学商学院和数学科学学院, 天津 300071.;南开大学数学科学学院, 天津 300071.
基金项目:国家自然科学基金 (No.11101083)和对外经济贸易大学学术创新团队资助项目(数量经济学理论与应用创新团队)(No.CXTD4-01)
摘    要:研究了一类由分式噪声所驱动的随机偏微分方程的统计推断. 先构造了偏微分算子时间 相依系数的非参数估计量, 然后得到了该估计在最大值范数下的收敛率和渐近正态性. 该收敛率 由系数的平滑参数和分式噪声的Hurst参数共同决定.

关 键 词:分式噪声    非参数统计    随机偏微分方程

Nonparametric Inference for a Class of SPDEs Driven by Fractional Noises
TANG Dan,WANG Yongjin and ZHANG Guannan.Nonparametric Inference for a Class of SPDEs Driven by Fractional Noises[J].Chinese Annals of Mathematics,2013,34(5):627-642.
Authors:TANG Dan  WANG Yongjin and ZHANG Guannan
Institution:School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China.;School of Business and School of Mathematical Sciences, Nankai University, Tianjin 300071, China.;School of Mathematical Sciences, Nankai University, Tianjin 300071, China.
Abstract:The nonparametric inference for a class of stochastic partial differential equations driven by fractional noises is investigated. The authors construct a non-parametric estimator of the time-dependent coefficient of the partial differential operator. The convergence in the sup-norm and asymptotic normality of the estimator are established. The rate of convergence is determined by both the smoothness of the coefficient and the Hurst parameter of the fractional noise.
Keywords:Fractional noise  Nonparametric inference  Stochastic partial differential equation
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