Faithful Variable Screening for High-Dimensional Convex Regression

7 Nov 2014Min XuMinhua ChenJohn Lafferty

We study the problem of variable selection in convex nonparametric regression. Under the assumption that the true regression function is convex and sparse, we develop a screening procedure to select a subset of variables that contains the relevant variables... (read more)

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