Bayesian $l_0$-regularized Least Squares

31 May 2017Nicholas G. PolsonLei Sun

Bayesian $l_0$-regularized least squares is a variable selection technique for high dimensional predictors. The challenge is optimizing a non-convex objective function via search over model space consisting of all possible predictor combinations... (read more)

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