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Asymptotic Properties of Estimators for Ornstein-Uhlenbeck Processes with Small Symmetricα-Stable Motions
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作者 潘玉荣 贾朝勇 刘晓雁 《Journal of Donghua University(English Edition)》 EI CAS 2020年第4期357-364,共8页
The asymptotic behaviors for estimators of the drift parameters in the Ornstein-Uhlenbeck process driven by small symmetricα-stable motion are studied in this paper.Based on the discrete observations,the conditional ... The asymptotic behaviors for estimators of the drift parameters in the Ornstein-Uhlenbeck process driven by small symmetricα-stable motion are studied in this paper.Based on the discrete observations,the conditional least squares estimators(CLSEs)of all the parameters involved in the Ornstein–Uhlenbeck process are proposed.We establish the consistency and the asymptotic distributions of our estimators asεgoes to 0 and n goes to∞simultaneously. 展开更多
关键词 Ornstein-Uhlenbeck process symmetricα-stable motion conditional least squares estimator(CLSE) consistency asymptotic distribution
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Parameter Estimation for Complex Ornstein-Uhlenbeck Processes 被引量:3
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作者 潘玉荣 孙西超 《Journal of Donghua University(English Edition)》 EI CAS 2019年第4期399-404,共6页
The drift parameter estimation problem of the complex Ornstein-Uhlenbeck process driven by a complexα-stable motion is considered.Based on discrete observations,an estimator of the unknown drift parameter is construc... The drift parameter estimation problem of the complex Ornstein-Uhlenbeck process driven by a complexα-stable motion is considered.Based on discrete observations,an estimator of the unknown drift parameter is constructed by using the least squares method.Moreover,the strong consistency and the asymptotic distribution of the least squares estimator are derived under some assumptions. 展开更多
关键词 α-stable motion COMPLEX ORNSTEIN-UHLENBECK processes the least SQUARES estimation CONSISTENCY ASYMPTOTIC distribution
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Lvy运动干扰的经典风险模型的Gerber-Shiu函数
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作者 陈进源 孔新兵 李泽慧 《数学学报(中文版)》 SCIE CSCD 北大核心 2012年第2期259-272,共14页
通过一个弱收敛方法,本文首次以拉普拉斯变换的形式给出α-稳定Levy运动干扰的经典风险模型的Gerber-Shiu期望折扣惩罚函数(G-S函数).用同样的方法,也获得了这个风险模型的最终破产概率作为本文结果的补充.作为检验,这个风险过程的最终... 通过一个弱收敛方法,本文首次以拉普拉斯变换的形式给出α-稳定Levy运动干扰的经典风险模型的Gerber-Shiu期望折扣惩罚函数(G-S函数).用同样的方法,也获得了这个风险模型的最终破产概率作为本文结果的补充.作为检验,这个风险过程的最终破产概率实际上是G-S函数的特殊情形. 展开更多
关键词 复合泊松过程 α-稳定Lévy运动 破产概率Gerber-Shiu期望折扣惩罚函数 Skorohod拓扑
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