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Introduction to Nonparametric Estimation (Record no. 426120)

MARC details
000 -LEADER
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
-- PDF
-- rda
490 1# -
-- Springer Series in Statistics,
-- 0172-7397
505 0# -
-- Nonparametric estimators -- Lower bounds on the minimax risk -- Asymptotic efficiency and adaptation.
520 ## -
-- 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.
650 #0 -
-- 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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