Introduction to Nonparametric Estimation (Record no. 426120)
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fixed length control field | 03631nam a22005775i 4500 |
020 ## - INTERNATIONAL STANDARD BOOKNUMBER | |
International Standard Book Number | 9780387790527 |
-- | 978-0-387-79052-7 |
024 7# - | |
-- | 10.1007/b13794 |
-- | doi |
040 ## - | |
-- | ISI Library, Kolkata |
050 #4 - | |
-- | QA276-280 |
072 #7 - | |
-- | PBT |
-- | bicssc |
072 #7 - | |
-- | MAT029000 |
-- | bisacsh |
072 #7 - | |
-- | PBT |
-- | thema |
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.5 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Tsybakov, Alexandre B. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT | |
Title | Introduction to Nonparametric Estimation |
Medium | [electronic resource] / |
Statement of responsibility, etc | by Alexandre B. Tsybakov. |
942 ## - ADDED ENTRY ELEMENTS(KOHA) | |
Koha item type | E-BOOKS |
100 1# - MAIN ENTRY--PERSONAL NAME | |
-- | author. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
Place of production, publication, distribution, manufacture | New York, NY : |
Name of producer, publisher, distributor, manufacturer | Springer New York, |
Date of production, publication, distribution, manufacture | 2009. |
300 ## - | |
-- | X, 214 p. |
-- | online resource. |
336 ## - CONTENT TYPE | |
Content Type Term | text |
Content Type Code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media Type Term | computer |
Media Type Code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier Type Term | online resource |
Carrier Type Code | cr |
Source | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
490 1# - | |
-- | Springer Series in Statistics, |
-- | 0172-7397 |
505 0# - | |
-- | Nonparametric estimators -- Lower bounds on the minimax risk -- Asymptotic efficiency and adaptation. |
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-- | Methods of nonparametric estimation are located at the core of modern statistical science. The aim of this book is to give a short but mathematically self-contained introduction to the theory of nonparametric estimation. The emphasis is on the construction of optimal estimators; therefore the concepts of minimax optimality and adaptivity, as well as the oracle approach, occupy the central place in the book. 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 concepts of the theory while maintaining the exposition suitable for a first approach in the field. Therefore, the results are not always given in the most general form but rather under assumptions that lead to shorter or more elegant proofs. The book has three chapters. Chapter 1 presents basic nonparametric regression and density estimators and analyzes their properties. Chapter 2 is devoted to a detailed treatment of minimax lower bounds. Chapter 3 develops more advanced topics: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity. |
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-- | Mathematical statistics. |
650 #0 - | |
-- | Computer science. |
650 #0 - | |
-- | Optical pattern recognition. |
650 #0 - | |
-- | Econometrics. |
650 #0 - | |
-- | Distribution (Probability theory. |
650 14 - | |
-- | Statistical Theory and Methods. |
-- | http://scigraph.springernature.com/things/product-market-codes/S11001 |
650 24 - | |
-- | Probability and Statistics in Computer Science. |
-- | http://scigraph.springernature.com/things/product-market-codes/I17036 |
650 24 - | |
-- | Pattern Recognition. |
-- | http://scigraph.springernature.com/things/product-market-codes/I2203X |
650 24 - | |
-- | Econometrics. |
-- | http://scigraph.springernature.com/things/product-market-codes/W29010 |
650 24 - | |
-- | Signal, Image and Speech Processing. |
-- | http://scigraph.springernature.com/things/product-market-codes/T24051 |
650 24 - | |
-- | Probability Theory and Stochastic Processes. |
-- | http://scigraph.springernature.com/things/product-market-codes/M27004 |
710 2# - | |
-- | SpringerLink (Online service) |
773 0# - | |
-- | Springer eBooks |
776 08 - | |
-- | Printed edition: |
-- | 9781441927095 |
776 08 - | |
-- | Printed edition: |
-- | 9780387570648 |
776 08 - | |
-- | Printed edition: |
-- | 9780387790510 |
830 #0 - | |
-- | Springer Series in Statistics, |
-- | 0172-7397 |
856 40 - | |
-- | https://doi.org/10.1007/b13794 |
912 ## - | |
-- | ZDB-2-SMA |
950 ## - | |
-- | Mathematics and Statistics (Springer-11649) |
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