Are Latent Factor Regression and Sparse Regression Adequate?

Factor model High-dimensional Inference Hypothesis Robustness Sparse linear regression

Journal

Journal of the American Statistical Association
ISSN: 0162-1459
Titre abrégé: J Am Stat Assoc
Pays: United States
ID NLM: 01510020R

Informations de publication

Date de publication:
2024
Historique:
pmc-release: 01 01 2025
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 13 9 2024
Statut: ppublish

Résumé

We propose the Factor Augmented (sparse linear) Regression Model (FARM) that not only admits both the latent factor regression and sparse linear regression as special cases but also bridges dimension reduction and sparse regression together. We provide theoretical guarantees for the estimation of our model under the existence of sub-Gaussian and heavy-tailed noises (with bounded (1 +

Identifiants

pubmed: 39268549
doi: 10.1080/01621459.2023.2169700
pmc: PMC11390100
mid: NIHMS1871922
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1076-1088

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Auteurs

Jianqing Fan (J)

Frederick L. Moore '18 Professor of Finance, Professor of Statistics, and Professor of Operations Research and Financial Engineering at the Princeton University.

Zhipeng Lou (Z)

Department of Operations Research and Financial Engineering, Princeton University.

Mengxin Yu (M)

Department of Operations Research and Financial Engineering, Princeton University, Princeton, NJ 08544, USA.

Classifications MeSH