Bemærk: Kan ikke leveres før jul.
Forventes på lager: 25-03-2021
High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples or from Gaussian regression/signal in white noise problems.
| Forlag | Cambridge University Press |
| Forfattere | Evarist Gine, Richard (University of Cambridge) Nickl |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgave | Revised ed |
| Udgivelsesdato | 25-03-2021 |
| Første udgivelsesår | 2021 |
| Serie | Cambridge Series in Statistical and Probabilistic Mathematics |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 704 |
| Indbinding | Paperback / softback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 704 pages, Worked examples or Exercises |
| Mål | 254 x 177 x 46 |
| ISBN-13 / EAN-13 | 9781108994132 |