Learning population and subject-specific brain connectivity networks via mixed neighborhood selection
نویسندگان
چکیده
منابع مشابه
Learning Population and Subject - Specific Brain Connectivity Networks via Mixed Neighborhood Selection
In neuroimaging data analysis, Gaussian graphical models are often used to model statistical dependencies across spatially remote brain regions known as functional connectivity. Typically, data is collected across a cohort of subjects and the scientific objectives consist of estimating population and subject-specific connectivity networks. A third objective that is often overlooked involves qua...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2017
ISSN: 1932-6157
DOI: 10.1214/17-aoas1067