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Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
Authors:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
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Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Spatial weights matrix selection and model averaging for spatial autoregressive models 期刊论文
JOURNAL OF ECONOMETRICS, 2018, 卷号: 203, 期号: 1, 页码: 1-18
Authors:  Zhang, Xinyu;  Yu, Jihai
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Model averaging  Model selection  Spatial autoregressive  Spatial econometrics  
CURVATURE ASPECTS OF GRAPHS 期刊论文
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY, 2017, 卷号: 145, 期号: 5, 页码: 2033-2042
Authors:  Bauer, F.;  Chung, F.;  Lin, Y.;  Liu, Y.
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An orthogonally accumulated projection method for symmetric linear system of equations 期刊论文
SCIENCE CHINA-MATHEMATICS, 2016, 卷号: 59, 期号: 7, 页码: 1235-1248
Authors:  Peng WuJian;  Lin Qun;  Zhang ShuHua
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iterative method  accumulated projection  conjugate gradient method  Krylov subspace  
anorthogonallyaccumulatedprojectionmethodforsymmetriclinearsystemofequations 期刊论文
sciencechinamathematics, 2016, 卷号: 59, 期号: 7, 页码: 1235
Authors:  Peng Wujian;  Lin Qun;  Zhang Shuhua
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Parameter estimation of eccentric inspiraling compact binaries using an enhanced post circular model for ground-based detectors 期刊论文
PHYSICAL REVIEW D, 2015, 卷号: 92, 期号: 4, 页码: 10
Authors:  Su, Baosan;  Cao, Zhoujian;  Wang, Yan;  Yeh, Hsien-Chi
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Admissibilities of linear estimator in a class of linear models with a multivariate t error variable 期刊论文
SCIENCE CHINA-MATHEMATICS, 2010, 卷号: 53, 期号: 8, 页码: 2011-2019
Authors:  Yang GuoQing;  Wu QiGuang
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multivariate t distribution  convex loss  quadratic loss  matrix loss  admissible estimator  
admissibilitiesoflinearestimatorinaclassoflinearmodelswithamultivariateterrorvariable 期刊论文
sciencechinamathematics, 2010, 卷号: 53, 期号: 8, 页码: 2011
Authors:  Yang Guoqing;  Wu Qiguang
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Admissibilities of matrix linear estimators multivariate linear models 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2006, 卷号: 136, 期号: 11, 页码: 3852-3870
Authors:  Wu, Qi-Guang;  Noda, Kazuo
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estimable parameter matrix linear function  with and without normality assumption  unknown covariance matrix  necessary and sufficient conditions  quadratic matfix loss functions  space of all matrix estimators  restricted space of all matrix linear estimators  
A novel regularized fisher discriminant method for face recognition based on subspace and rank lifting scheme 期刊论文
AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS, 2005, 卷号: 3784, 页码: 152-159
Authors:  Chen, WS;  Yuen, PC;  Huang, J;  Lai, JH;  Tang, JL
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face recognition  linear discriminant analysis  small sample size problem  regularized method  null space