We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...
This is a preview. Log in through your library . Abstract In ultrahigh dimensional setting, independence screening has been both theoretically and empirically proved a useful variable selection ...
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