Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems-Reference-Cited by-同舟云学术

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Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems

Published:2021-02-10 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Nandy Debmalya¹,Chiaromonte Francesca²³,Li Runze²

Affiliation:

1. Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO;

2. Department of Statistics, Penn State University, University Park, PA;

3. Institute of Economics and EMbeDS, Sant’Anna School of Advanced Studies, Pisa, Italy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1864380

Reference49 articles.

1. Robust Detection of Outlier Samples and Genes in Expression Datasets

2. Regularized estimation of large covariance matrices

3. Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

4. Error Variance Estimation in Ultrahigh-Dimensional Additive Models

5. Homozygosity mapping with SNP arrays identifies TRIM32, an E3 ubiquitin ligase, as a Bardet-Biedl syndrome gene (BBS11)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model-Free Feature Screening via Maximal Information Coefficient (MIC) for Ultrahigh-Dimensional Multiclass Classification;Open Journal of Statistics;2023

2. Statistical Methods with Applications in Data Mining: A Review of the Most Recent Works;Mathematics;2022-03-19

3. Recent Advances in Big Data Analytics;The Palgrave Handbook of Operations Research;2022

4. Model-Free Feature Screening Based on Gini Impurity for Ultrahigh-Dimensional Multiclass Classification;Open Journal of Statistics;2022

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