Introduction to high-dimensional statistics. (2021)
- Record Type:
- Book
- Title:
- Introduction to high-dimensional statistics. (2021)
- Main Title:
- Introduction to high-dimensional statistics
- Further Information:
- Note: Christophe Giraud.
- Authors:
- Giraud, Christophe
- Contents:
- 1. Introduction. 2. Model Selection. 3. Minimax Lower Bounds. 4. Aggregation of Estimators. 5. Convex Criteria. 6. Iterative Algorithms. 7. Estimator Selection. 8. Multivariate Regression. 9. Graphical Models. 10. Multiple Testing. 11. Supervised Classification. 12. Clustering.
- Edition:
- Second edition
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2021
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 519.535
Dimensional analysis
Multivariate analysis
Statistics - Languages:
- English
- ISBNs:
- 9781000408355
9781000408324
9781003158745 - Related ISBNs:
- 9780367716226
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.636912
- Ingest File:
- 06_024.xml