Fused Lasso Additive Model

18 Sep 2014 Ashley Petersen Daniela Witten Noah Simon

We consider the problem of predicting an outcome variable using $p$ covariates that are measured on $n$ independent observations, in the setting in which flexible and interpretable fits are desirable. We propose the fused lasso additive model (FLAM), in which each additive function is estimated to be piecewise constant with a small number of adaptively-chosen knots... (read more)

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