Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data
نویسندگان
چکیده
منابع مشابه
Bootstrap Enhanced Penalized Regression for Variable Selection with Neuroimaging Data
Recent advances in fMRI research highlight the use of multivariate methods for examining whole-brain connectivity. Complementary data-driven methods are needed for determining the subset of predictors related to individual differences. Although commonly used for this purpose, ordinary least squares (OLS) regression may not be ideal due to multi-collinearity and over-fitting issues. Penalized re...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2016
ISSN: 1662-453X
DOI: 10.3389/fnins.2016.00344