Introduction to Nonparametric Estimation (Springer Series in Statistics) [ Alexandre B. Tsybakov] on *FREE* shipping on qualifying offers. Editorial Reviews. Review. From the reviews: “The book is meant to be an introduction to the Look inside this book. Introduction to Nonparametric Estimation (Springer Series in Statistics) by [Tsybakov, Alexandre B. This is a concise text developed from lecture notes and ready to be used for a course on the graduate level. The main idea is to introduce the fundamental.

Author: Mulmaran JoJobar
Country: Bahamas
Language: English (Spanish)
Genre: History
Published (Last): 22 January 2014
Pages: 425
PDF File Size: 19.57 Mb
ePub File Size: 4.59 Mb
ISBN: 337-6-35725-273-2
Downloads: 94872
Price: Free* [*Free Regsitration Required]
Uploader: Gam

Aad Van Der Vaart. Refresh and try again.

Introduction To Nonparametric Estimation by Tsybakov, Alexandre B

Functional Data Analysis J. The author should be complimented for a good treatise with detailed proofs of several important results in nonparametric estimation theory. However, parametric models provide only an approximation, often imprecise, of the – derlying statistical structure.

Nikita Zhiltsov marked it as to-read Sep 12, The detailed proofs given in the book will help the interested reader to understand the subject better. Regression Modeling Strategies Frank E. Um Ihnen ein besseres Nutzererlebnis zu bieten, verwenden wir Cookies. Nabin Singh marked it as to-read Sep 19, Unknown elements in these models are, in general, some functions having certain properties of smoo- ness.

Alexandre Tsybakov Paris, June Preface to the French Edition The tradition of considering the problem of statistical estimation as that of estimation of a? We use cookies to give you the best possible experience. Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. The author contends to present the material Statistical models that explain the data in a more consistent way are often more complex: Description This is a revised and extended version of the French book.

Related Posts  JURNAL TERMOREGULASI PDF

Each chapter now has the bibliographic notes and contains the exercises section.

Introduction to Nonparametric Estimation by Alexandre B. Tsybakov

Julien marked it as to-read Oct 24, Klicken Sie auf 2. Sivakumar Thulasimani marked it as to-read Sep 12, Theory of Statistics Mark J. Alexandre Tsybakov Paris, June Preface to the French Edition The tradition of considering the problem of statistical estimation as that of estimation of a?

A short and rigorous introduction to minimax results for estimators of densities and regression functions from independent observations. We’re featuring millions of their reader ratings on our honparametric pages to help you find your introductiln favourite book.

Liz rated it liked it Jan 02, Pinsker’s theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity.

Ali Zaidi rated it it was amazing Dec 15, However, parametric models provide only an approximation, often imprecise, of the – derlying statistical structure. Jb Monnier rated it it was amazing Apr 02, Jacek rated it it was amazing Jul 15, Product details Format Hardback pages Dimensions x x Alexandre Tsybakov Paris, June Preface to the French Edition The tradition of considering the problem of statistical estimation as that of estimation of a?

Chapter 3 develops more advanced topics: An Introduction to Copulas Roger B. Sie sind bereits eingeloggt. If you like books and love to build cool products, we may be looking tsybakovv you. Each of the three chapters ends with a section containing detailed biographical notes and a section with exercises complementing nonparametrjc illustrating the main results.

Related Posts  BRENNU NJLS SAGA PDF

Therefore, the results are not always given in the most general form but rather under assumptions that lead to estimqtion or more elegant proofs.

Introduction to Nonparametric Estimation

Unknown elements in these models are, in general, some functions having certain properties of esti,ation ness. Nikhil marked it as to-read Sep 16, Other books in this series.

Each of the three chapters ends with a section containing detailed biographical notes and a section with exercises complementing and illustrating the main results.

Chapter 2 is devoted to a detailed treatment of minimax lower estimxtion. The detailed proofs given in the book will help the interested reader to understand the subject better.

The main idea is to introduce the fundamental concepts of the theory while maintaining the exposition suitable for a first approach in the field.

This is a concise text developed from lecture notes and ready to be used for a course on the graduate level. No trivia or quizzes yet.

It was designed for ap- proximation of possibly irregular functions and surfaces and was successfully applied in data compressi The tp proofs given in the book will help the interested reader to understand the subject better. Home Contact Us Help Free delivery worldwide.

Michelle Tran marked it as to-read Sep 23, Nonlinear Time Series Jianqing Fan.