Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Zhidong Bai"'
Autor:
Dunming Hua, Ming Gu, Xiao Zhang, Yanyi Du, Hangcheng Xie, Li Qi, Xiangjun Du, Zhidong Bai, Xiaopeng Zhu, Dechao Tian
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Topologically associating domains (TADs) are critical structural units in three-dimensional genome organization of mammalian genome. Dynamic reorganizations of TADs between health and disease states are associated with essential genome funct
Externí odkaz:
https://doaj.org/article/7f50af4f28ea4e8091a294023fb98f57
Publikováno v:
Light: Science & Applications, Vol 11, Iss 1, Pp 1-14 (2022)
Abstract We present a new label-free three-dimensional (3D) microscopy technique, termed transport of intensity diffraction tomography with non-interferometric synthetic aperture (TIDT-NSA). Without resorting to interferometric detection, TIDT-NSA re
Externí odkaz:
https://doaj.org/article/46ae0c88920d48e6a821ae4c8c882a86
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0185155 (2018)
The multivariate nonlinear Granger causality developed by Bai et al. (2010) (Mathematics and Computers in simulation. 2010; 81: 5-17) plays an important role in detecting the dynamic interrelationships between two groups of variables. Following the i
Externí odkaz:
https://doaj.org/article/ceefbb185a1d48cca2c9a95a40d2a51b
Publikováno v:
Entropy, Vol 21, Iss 11, p 1071 (2019)
In this work, an analytical framework for deriving the exact moments of multiple-input- multiple-output (MIMO) mutual information in the high-signal-to-noise ratio (SNR) regime is proposed. The idea is to make efficient use of the matrix-variate dens
Externí odkaz:
https://doaj.org/article/a395bd5f77c74b3898af85323f2ece95
Under the high-dimensional setting that data dimension and sample size tend to infinity proportionally, we derive the central limit theorem (CLT) for linear spectral statistics (LSS) of large-dimensional sample covariance matrix. Different from exist
Externí odkaz:
http://arxiv.org/abs/2106.10135
The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional r
Suppose that $\mathbf X_n=(x_{jk})$ is $N\times n$ whose elements are independent real variables with mean zero, variance 1 and the fourth moment equal to three. The separable sample covariance matrix is defined as $\mathbf{B}_n = \frac1N\mathbf{T}_{
Externí odkaz:
http://arxiv.org/abs/1611.08979
Random matrix theory has a long history, beginning in the first instance in multivariate statistics. It was used by Wigner to supply explanations for the important regularity features of the apparently random dispositions of the energy levels of heav
Publikováno v:
IEEE Transactions on Wireless Communications. 21:8600-8615
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::387cae1a3ab218edabf47aa4d0e19e9a
https://doi.org/10.1109/twc.2022.3167474
https://doi.org/10.1109/twc.2022.3167474
The Limiting Spectral Distribution of Large-Dimensional General Information-Plus-Noise-Type Matrices
Publikováno v:
Journal of Theoretical Probability. 36:1203-1226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edb6de843648e124c9826e7a0f95a558
https://doi.org/10.1007/s10959-022-01193-x
https://doi.org/10.1007/s10959-022-01193-x