<p><strong>Praise for the first edition:</strong></p><p>"[This book] succeeds singularly at providing a structured introduction to this active field of research. β¦ it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the
Introduction to high-dimensional statistics
β Scribed by Giraud C
- Publisher
- CRC Press
- Year
- 2014
- Tongue
- English
- Leaves
- 270
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Cover......Page 1
Contents......Page 8
Preface......Page 14
Acknowledgments......Page 16
Chapter 1: Introduction......Page 18
Chapter 2: Model Selection......Page 44
Chapter 3: Aggregation of Estimators......Page 78
Chapter 4: Convex Criteria......Page 90
Chapter 5: Estimator Selection......Page 118
Chapter 6: Multivariate Regression......Page 138
Chapter 7: Graphical Models......Page 158
Chapter 8: Multiple Testing......Page 182
Chapter 9: Supervised Classification......Page 198
Appendix A: Gaussian Distribution......Page 230
Appendix B: Probabilistic Inequalities......Page 234
Appendix C: Linear Algebra......Page 246
Appendix D: Subdifferentials of Convex Functions......Page 252
Appendix E: Reproducing Kernel Hilbert Spaces......Page 256
Notations......Page 260
Bibliography......Page 262
Back Cover......Page 270
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