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...
Enregistré dans:
| Publié dans: | J Am Stat Assoc |
|---|---|
| Auteurs principaux: | , , , |
| 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!
|