A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data

A Hypothesis Testing for Large Weighted Networks With Applications to Functional Neuroimaging Data

Neuroimaging techniques have been routinely applied in various studies in neuroscience, which contribute to providing novel insights into brain functions. One of the most important and challenging questions related to data collected from such studies is hypothesis testing for the differences between...

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Bibliographic Details
Main Authors: Li Chen, Lizhen Lin, Jie Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Hypothesis testing
neuroimaging
network data
weighted network
Tracy–Widom distribution
Online Access:https://ieeexplore.ieee.org/document/9233364/

Internet

https://ieeexplore.ieee.org/document/9233364/

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