Alexandre B. Tsybakov

Introduction to Nonparametric Estimation (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book will be a valuable reference for researchers in the eare of nonparametrics.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 214
• Erscheinungstermin: 22. Oktober 2008
• Englisch
• ISBN-13: 9780387790527
• Artikelnr.: 37285988

Inhaltsangabe

Nonparametric estimators.- Lower bounds on the minimax risk.- Asymptotic efficiency and adaptation.

Rezensionen

From the reviews: "The book is meant to be an introduction to the rich theory of nonparametric estimation through some simple models and examples. The detailed proofs given in the book will help the interested reader to understand the subject better. This well written book will be welcomed by all those interested in learning the presented concepts. The author should be complimented for a good treatise with detailed proofs of several important results in nonparametric estimation theory." (Ravi Sreenivasan, Zentralblatt MATH, Vol. 1176, 2010) "...A short and rigorous introduction to minimax results for estimators of densities and regression functions from independent observations. Each of the three chapters ends with a section containing detailed biographical notes and a section with exercises complementing and illustrating the main results. This book is an excellent introduction to the results and techniques of minimax estimation." (Journal of the American Statistical Association, Vol. 105, No. 489)