Chargement en cours...

Confidence Intervals for Sparse Penalized Regression with Random Designs

With the abundance of large data, sparse penalized regression techniques are commonly used in data analysis due to the advantage of simultaneous variable selection and estimation. A number of convex as well as non-convex penalties have been proposed in the literature to achieve sparse estimates. Des...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:J Am Stat Assoc
Auteurs principaux: Yu, Guan, Yin, Liang, Lu, Shu, Liu, Yufeng
Format: Artigo
Langue:Inglês
Publié: 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7716883/
https://ncbi.nlm.nih.gov/pubmed/33281249
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2019.1585251
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!