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of 164
pro vyhledávání: '"Bowman, F. DuBois"'
Recent advances in multimodal imaging acquisition techniques have allowed us to measure different aspects of brain structure and function. Multimodal fusion, such as linked independent component analysis (LICA), is popularly used to integrate complem
Externí odkaz:
http://arxiv.org/abs/2406.18829
This paper considers canonical correlation analysis for two longitudinal variables that are possibly sampled at different time resolutions with irregular grids. We modeled trajectories of the multivariate variables using random effects and found the
Externí odkaz:
http://arxiv.org/abs/2302.00841
In recent years, there has been strong interest in neuroscience studies to investigate brain organization through networks of brain regions that demonstrate strong functional connectivity (FC). These networks are extracted from observed fMRI using da
Externí odkaz:
http://arxiv.org/abs/1703.04056
Emerging brain network studies suggest that interactions between various distributed neuronal populations may be characterized by an organized complex topological structure. Many brain diseases are associated with altered topological patterns of brai
Externí odkaz:
http://arxiv.org/abs/1603.07211
Publikováno v:
In Computational Statistics and Data Analysis January 2020 141:109-122
Publikováno v:
Statistics Surveys (2013) 7, 1-36
Complex functional brain network analyses have exploded over the last eight years, gaining traction due to their profound clinical implications. The application of network science (an interdisciplinary offshoot of graph theory) has facilitated these
Externí odkaz:
http://arxiv.org/abs/1302.5721
Autor:
Bowman, F. DuBois, Manatunga, Amita K.
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2005 Jan 01. 54(2), 301-316.
Externí odkaz:
https://www.jstor.org/stable/3592640
Akademický článek
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Publikováno v:
Biometrics, 2016 Jun 01. 72(2), 596-605.
Externí odkaz:
http://www.jstor.org/stable/24738948
Publikováno v:
WIREs: Computational Statistics; Sep/Oct2023, Vol. 15 Issue 5, p1-21, 21p