High-dimensional statistics
Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press
[2015]
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| Edición: | 1st edition |
| Colección: | Monographs on statistics and applied probability (Series) ;
139. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672537106719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgments; Chapter 1: Introduction; Chapter 2: Model Selection; Chapter 3: Aggregation of Estimators; Chapter 4: Convex Criteria; Chapter 5: Estimator Selection; Chapter 6: Multivariate Regression; Chapter 7: Graphical Models; Chapter 8: Multiple Testing; Chapter 9: Supervised Classification; Appendix A: Gaussian Distribution; Appendix B: Probabilistic Inequalities; Appendix C: Linear Algebra; Appendix D: Subdifferentials of Convex Functions; Appendix E: Reproducing Kernel Hilbert Spaces; Notations; Bibliography; Back Cover
