Mathematical Foundations of Infinite-Dimensional Statistical Models

Author:   Evarist Giné ,  Richard Nickl (University of Cambridge)
Publisher:   Cambridge University Press
Edition:   Revised edition
ISBN:  

9781108994132


Pages:   704
Publication Date:   25 March 2021
Format:   Paperback
Availability:   In stock   Availability explained
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Mathematical Foundations of Infinite-Dimensional Statistical Models


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Author:   Evarist Giné ,  Richard Nickl (University of Cambridge)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Edition:   Revised edition
Dimensions:   Width: 17.60cm , Height: 3.60cm , Length: 25.10cm
Weight:   1.270kg
ISBN:  

9781108994132


ISBN 10:   110899413
Pages:   704
Publication Date:   25 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Preface; 1. Nonparametric statistical models; 2. Gaussian processes; 3. Empirical processes; 4. Function spaces and approximation theory; 5. Linear nonparametric estimators; 6. The minimax paradigm; 7. Likelihood-based procedures; 8. Adaptive inference; References; Author Index; Index.

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Evarist Giné (1944–2015) was Head of the Department of Mathematics at the University of Connecticut. Giné was a distinguished mathematician who worked on mathematical statistics and probability in infinite dimensions. He was the author of two books and more than 100 articles. Richard Nickl is Professor of Mathematical Statistics in the Statistical Laboratory within the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge.

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