High-Dimensional Statistics
HC gerader Rücken kaschiert
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ISBN-13:
9781108498029
Veröffentl:
2019
Einband:
HC gerader Rücken kaschiert
Erscheinungsdatum:
21.02.2019
Seiten:
572
Autor:
Martin J. Wainwright
Gewicht:
1259 g
Format:
260x183x35 mm
Sprache:
Englisch
Beschreibung:
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
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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