Mathematical Foundations of Infinite-Dimensional Statistical Models |
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| Author:
| Giné, Evarist
Nickl, Richard |
| Series title: | Cambridge Series in Statistical and Probabilistic Mathematics Ser. |
| ISBN: | 978-1-108-99413-2 |
| Publication Date: | Mar 2021 |
| Publisher: | Cambridge University Press
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| Book Format: | Paperback |
| List Price: | USD $52.99 |
Book Description:
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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.
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.