Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation-Reference-Cited by-同舟云学术

Optimal Sparse Linear Prediction for Block-missing Multi-modality Data Without Imputation

Published:2019-07-22 Issue:531 Volume:115 Page:1406-1419
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Yu Guan¹,Li Quefeng²,Shen Dinggang³⁴,Liu Yufeng⁵^ORCID

Affiliation:

1. Department of Biostatistics, State University of New York at Buffalo;

2. Department of Biostatistics, University of North Carolina at Chapel Hill;

3. Department of Radiology and BRIC, University of North Carolina at Chapel Hill;

4. Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea;

5. Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, Carolina Center for Genome Science, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, NC

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1632079

Reference40 articles.

1. The Skew-Normal and Related Families

2. Covariance regularization by thresholding

3. Consistent selection via the Lasso for high dimensional approximating regression models

4. A Singular Value Thresholding Algorithm for Matrix Completion

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