Post-Selection Inference for ℓ1-Penalized Likelihood Models
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We present a new method for post-selection inference for ℓ1 (lasso)-penalized likelihood models, including generalized regression models. Our approach generalizes the post-selection framework presented in Lee et al. (2013). The method provides p-values and co... ...
