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pro vyhledávání: '"Jin, Libin"'
Network reconstruction is important to the understanding and control of collective dynamics in complex systems. Most real networks exhibit sparsely connected properties, and the connection parameter is a signal (0 or 1). Well-known shrinkage methods
Externí odkaz:
http://arxiv.org/abs/2211.11494
Publikováno v:
Phys. Rev. Research 3, 043210(2021)
Inferring the connectivity structure of networked systems from data is an extremely important task in many areas of science. Most of real-world networks exhibit sparsely connected topologies, with links between nodes that in some cases may be even as
Externí odkaz:
http://arxiv.org/abs/2104.02320
Publikováno v:
In Applied Mathematics and Computation 1 June 2023 446
Akademický článek
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Skew normal mixture models provide a more flexible framework than the popular normal mixtures for modelling heterogeneous data with asymmetric behaviors. Due to the unboundedness of likelihood function and the divergency of shape parameters, the maxi
Externí odkaz:
http://arxiv.org/abs/1608.01513
Publikováno v:
Statistical Methods & Applications. Jun2023, Vol. 32 Issue 2, p469-492. 24p.
Publikováno v:
Cell Death Discovery; 3/11/2024, Vol. 10 Issue 1, p1-12, 12p
Autor:
Yu, Wei, Wang, Yitian, Zhu, Jian, Jin, Libin, Liu, Bing, Xia, Kaishun, Wang, Junjie, Gao, Jianqing, Liang, Chengzhen, Tao, Huimin
Publikováno v:
In Biomaterials February 2019 192:128-139
Publikováno v:
In Journal of Bone Oncology November 2017 9:15-20
Autor:
Dai, Xiaowen1,2 (AUTHOR), Jin, Libin1,2 (AUTHOR) jinlb1987@hotmail.com
Publikováno v:
PLoS ONE. 12/14/2021, Vol. 16 Issue 12, p1-13. 13p.