Cargando...

ENTRYWISE EIGENVECTOR ANALYSIS OF RANDOM MATRICES WITH LOW EXPECTED RANK

Recovering low-rank structures via eigenvector perturbation analysis is a common problem in statistical machine learning, such as in factor analysis, community detection, ranking, matrix completion, among others. While a large variety of bounds are available for average errors between empirical and...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en:Ann Stat
Main Authors: Abbe, Emmanuel, Fan, Jianqing, Wang, Kaizheng, Zhong, Yiqiao
Formato: Artigo
Idioma:Inglês
Publicado: 2020
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8046180/
https://ncbi.nlm.nih.gov/pubmed/33859446
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/19-aos1854
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!