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Selection Consistency of Lasso-Based Procedures for Misspecified High-Dimensional Binary Model and Random Regressors

We consider selection of random predictors for a high-dimensional regression problem with a binary response for a general loss function. An important special case is when the binary model is semi-parametric and the response function is misspecified under a parametric model fit. When the true respons...

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Bibliografske podrobnosti
izdano v:Entropy (Basel)
Main Authors: Kubkowski, Mariusz, Mielniczuk, Jan
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7516565/
https://ncbi.nlm.nih.gov/pubmed/33285928
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22020153
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