Zobrazeno 1 - 10
of 1 331
pro vyhledávání: '"stochastic block model"'
Autor:
Juan Xie, Kyeong Joo Jung, Carter Allen, Yuzhou Chang, Subhadeep Paul, Zihai Li, Qin Ma, Dongjun Chung
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
IntroductionThe advent of high throughput spatial transcriptomics (HST) has allowed for unprecedented characterization of spatially distinct cell communities within a tissue sample. While a wide range of computational tools exist for detecting cell c
Externí odkaz:
https://doaj.org/article/dcf9483cfe944eee8fd28f6e75addad5
Publikováno v:
IEEE Access, Vol 12, Pp 13488-13501 (2024)
In recent years, detecting anomalies in networks has attracted much attention in the literature. Researchers have developed various statistical process control (SPC) techniques to monitor the communication level within the networks. It is quite commo
Externí odkaz:
https://doaj.org/article/e271db3263154c71807d311acfdd5446
Autor:
Duy Duong-Tran, Nghi Nguyen, Shizhuo Mu, Jiong Chen, Jingxuan Bao, Frederick H. Xu, Sumita Garai, Jose Cadena-Pico, Alan David Kaplan, Tianlong Chen, Yize Zhao, Li Shen, Joaquín Goñi
Publikováno v:
Mathematics, Vol 12, Iss 19, p 2967 (2024)
In systems and network neuroscience, many common practices in brain connectomic analysis are often not properly scrutinized. One such practice is mapping a predetermined set of sub-circuits, like functional networks (FNs), onto subjects’ functional
Externí odkaz:
https://doaj.org/article/d876363623f847cebdf3c340f3893d1f
Autor:
Riddhi Pratim Ghosh, Ian Barnett
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-13 (2023)
Abstract While there have been numerous sequential algorithms developed to estimate community structure in networks, there is little available guidance and study of what significance level or stopping parameter to use in these sequential testing proc
Externí odkaz:
https://doaj.org/article/cb0ae2989cf14d088dfe947a9ec53cc3
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Identifying communities within networks is a crucial and challenging problem with practical implications across various scientific fields. Existing methods often overlook the heterogeneous distribution of nodal degrees or require prior knowledge of t
Externí odkaz:
https://doaj.org/article/2d4591bfa1f24afebeb0ed402e4f2dd0
Autor:
Zhu, Mu, author
Publikováno v:
Essential Statistics for Data Science : A Concise Crash Course, 2023, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780192867735.003.0001
Publikováno v:
PeerJ Computer Science, Vol 9, p e1523 (2023)
We study potential biases of popular network clustering quality metrics, such as those based on the dichotomy between internal and external connectivity. We propose a method that uses both stochastic and preferential attachment block models construct
Externí odkaz:
https://doaj.org/article/97682aed5a0b4a97a21a47b2ec521ef9
We study the problem of change point localization in dynamic networks models. We assume that we observe a sequence of independent adjacency matrices of the same size, each corresponding to a realization of an unknown inhomogeneous Bernoulli model. Th
Externí odkaz:
http://arxiv.org/abs/1809.09602
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