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Ergodicity for a class of semilinear stochastic partial differential equations 期刊论文
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2019, 页码: 20
作者:  Dong, Zhao;  Zhang, Rangrang
收藏  |  浏览/下载:196/0  |  提交时间:2020/05/24
invariant measures  irreducibility  semilinear partial differential equations  space-time white noise  strong Feller property  
Refined basic couplings and Wasserstein-type distances for SDEs with Levy noises 期刊论文
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2019, 卷号: 129, 期号: 9, 页码: 3129-3173
作者:  Luo, Dejun;  Wang, Jian
收藏  |  浏览/下载:198/0  |  提交时间:2020/01/10
Refined basic coupling  Levy jump process  Wasserstein-type distance  Strong ergodicity  
Averaging principle for one dimensional stochastic Burgers equation 期刊论文
JOURNAL OF DIFFERENTIAL EQUATIONS, 2018, 卷号: 265, 期号: 10, 页码: 4749-4797
作者:  Dong, Zhao;  Sun, Xiaobin;  Xiao, Hui;  Zhai, Jianliang
收藏  |  浏览/下载:397/0  |  提交时间:2018/10/07
Stochastic Burgers' equation  Averaging principle  Ergodicity  Invariant measure  Strong convergence  Weak convergence  
Ergodicity of the 2D Navier-Stokes equations with degenerate multiplicative noise 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2018, 卷号: 34, 期号: 1, 页码: 97-118
作者:  Dong, Zhao;  Peng, Xu-hui
收藏  |  浏览/下载:182/0  |  提交时间:2018/07/30
tochastic Navier-Stokes equation  asymptotically strong Feller property  ergodicity  
Recursive Identification for Nonlinear ARX Systems Based on Stochastic Approximation Algorithm 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 卷号: 55, 期号: 6, 页码: 1287-1299
作者:  Zhao, Wen-Xiao;  Chen, Han-Fu;  Zheng, Wei Xing
收藏  |  浏览/下载:118/0  |  提交时间:2018/07/30
Kernel function  Markov chain  nonlinear ARX system  recursive identification  stochastic approximation  
Geometric ergodicity of nonlinear autoregressive models with changing conditional variances 期刊论文
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2000, 卷号: 28, 期号: 3, 页码: 605-613
作者:  Chen, M;  Chen, GM
收藏  |  浏览/下载:131/0  |  提交时间:2018/07/30
ARCH(p)  AR(p)-ARCH(q)  double-threshold autoregressive models  geometric ergodicity  moments  strong mixing