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· 제목 : High-Dimensional Statistics : A Non-Asymptotic Viewpoint (Hardcover) 
· 분류 : 외국도서 > 대학교재 > 공학계열
· ISBN : 9781108498029
· 쪽수 : 568쪽
· 분류 : 외국도서 > 대학교재 > 공학계열
· ISBN : 9781108498029
· 쪽수 : 568쪽
목차
1. Introduction; 2. Basic tail and concentration bounds; 3. Concentration of measure; 4. Uniform laws of large numbers; 5. Metric entropy and its uses; 6. Random matrices and covariance estimation; 7. Sparse linear models in high dimensions; 8. Principal component analysis in high dimensions; 9. Decomposability and restricted strong convexity; 10. Matrix estimation with rank constraints; 11. Graphical models for high-dimensional data; 12. Reproducing kernel Hilbert spaces; 13. Nonparametric least squares; 14. Localization and uniform laws; 15. Minimax lower bounds; References; Author index; Subject index.
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