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科研机构
武汉理工大学 [4]
北京航空航天大学 [1]
内容类型
期刊论文 [5]
发表日期
2013 [5]
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Vector random fields with compactly supported covariance matrix functions
期刊论文
Journal of Statistical Planning and Inference, 2013, 卷号: 143, 期号: 3, 页码: 457-467
作者:
Du, Juan*
;
Ma, Chunsheng
收藏
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浏览/下载:12/0
  |  
提交时间:2019/12/04
Covariance matrix function
Covariance tapering
Cross covariance
Direct covariance
Elliptically contoured random field
Gaussian random field
Variogram matrix function
Student's t Vector Random Fields with Power-Law and Log-Law Decaying Direct and Cross Covariances
期刊论文
Stochastic Analysis and Applications, 2013, 卷号: 31, 期号: 1, 页码: 167-182
作者:
Ma, Chunsheng*
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/04
Cauchy random field
Conditionally negative definite matrix
Covariance matrix function
Elliptically contoured random field
Gaussian random field
Long range dependence
Spherically invariant random field
Stable random field
Variogram
60G12
60G22
60G15
60G60
60G18
Mittag-Leffler vector random fields with Mittag-Leffler direct and cross covariance functions
期刊论文
Annals of the Institute of Statistical Mathematics, 2013, 卷号: 65, 期号: 5, 页码: 941-958
作者:
Ma, Chunsheng*
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浏览/下载:4/0
  |  
提交时间:2019/12/04
Covariance matrix function
Cross covariance
Direct covariance
Elliptically contoured random field
Gaussian random field
Mittag-Leffler function
Variogram
K-distributed vector random fields in space and time
期刊论文
Statistics and Probability Letters, 2013, 卷号: 83, 期号: 4, 页码: 1143-1150
作者:
Ma, Chunsheng*
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/04
Covariance matrix function
Gamma process
chi(2) random field
K-distribution
Rayleigh random field
Adaptive filtering for jump Markov systems with unknown noise covariance
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 页码: 1765-1772
作者:
Li, Wenling
;
Jia, Yingmin
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浏览/下载:4/0
  |  
提交时间:2020/01/06
adaptive filters
approximation theory
Bayes methods
covariance matrices
estimation theory
Markov processes
random processes
mode-likelihood function
mode-conditioned estimate
variational Bayesian approximation method
inverse-Wishart distribution
random matrix
unknown measurement noise covariance
adaptive filtering
jump Markov systems
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