High‐dimensional integrative copula discriminant analysis for multiomics data-Reference-Cited by-同舟云学术

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High‐dimensional integrative copula discriminant analysis for multiomics data

Published:2020-10-15 Issue:30 Volume:39 Page:4869-4884
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

He Yong¹^ORCID,Chen Hao²,Sun Hao²,Ji Jiadong¹^ORCID,Shi Yufeng¹²,Zhang Xinsheng³,Liu Lei⁴^ORCID

Affiliation:

1. Shandong University Jinan China

2. School of Statistics Shandong University of Finance and Economics Jinan China

3. School of Management Fudan University Shanghai China

4. Division of Biostatistics Washington University in St. Louis St. Louis Missouri USA

Funder

Foundation for the National Institutes of Health

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8758

Reference42 articles.

1. Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations

2. Improved centroids estimation for the nearest shrunken centroid classifier

3. High-dimensional classification using features annealed independence rules

4. A road to classification in high dimensional space: the regularized optimal affine discriminant

5. A Direct Estimation Approach to Sparse Linear Discriminant Analysis

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