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Lectures on the nearest neighbor method

Devroye, Luc.

Lectures on the nearest neighbor method

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Lectures on the nearest neighbor method/ by Gerard Biau, Luc Devroye.
Author:	Biau, Gerard.
other author:	Devroye, Luc.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	ix, 290 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Nearest neighbor analysis (Statistics) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-25388-6
ISBN:	9783319253886

Lectures on the nearest neighbor method
Biau, Gerard.

Lectures on the nearest neighbor method[electronic resource] /by Gerard Biau, Luc Devroye. - Cham :Springer International Publishing :2015. - ix, 290 p. :ill., digital ;24 cm. - Springer series in the data sciences,2365-5674. - Springer series in the data sciences..

Part I: Density Estimation -- Order Statistics and Nearest Neighbors -- The Expected Nearest Neighbor Distance -- The k-nearest Neighbor Density Estimate -- Uniform Consistency -- Weighted k-nearest neighbor density estimates -- Local Behavior -- Entropy Estimation -- Part II: Regression Estimation -- The Nearest Neighbor Regression Function Estimate -- The 1-nearest Neighbor Regression Function Estimate -- LP-consistency and Stone's Theorem -- Pointwise Consistency -- Uniform Consistency -- Advanced Properties of Uniform Order Statistics -- Rates of Convergence -- Regression: The Noisless Case -- The Choice of a Nearest Neighbor Estimate -- Part III: Supervised Classification -- Basics of Classification -- The 1-nearest Neighbor Classification Rule -- The Nearest Neighbor Classification Rule. Appendix -- Index.

ISBN: 9783319253886

Standard No.: 10.1007/978-3-319-25388-6doiSubjects--Topical Terms:

669823
Nearest neighbor analysis (Statistics)

LC Class. No.: QA278.2

Dewey Class. No.: 519.2

Lectures on the nearest neighbor method
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100 1 $a Biau, Gerard. $3 1070507
245 1 0 $a Lectures on the nearest neighbor method $h [electronic resource] / $c by Gerard Biau, Luc Devroye.
260 $a Cham : $c 2015. $b Springer International Publishing : $b Imprint: Springer,
300 $a ix, 290 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in the data sciences, $x 2365-5674
505 0 $a Part I: Density Estimation -- Order Statistics and Nearest Neighbors -- The Expected Nearest Neighbor Distance -- The k-nearest Neighbor Density Estimate -- Uniform Consistency -- Weighted k-nearest neighbor density estimates -- Local Behavior -- Entropy Estimation -- Part II: Regression Estimation -- The Nearest Neighbor Regression Function Estimate -- The 1-nearest Neighbor Regression Function Estimate -- LP-consistency and Stone's Theorem -- Pointwise Consistency -- Uniform Consistency -- Advanced Properties of Uniform Order Statistics -- Rates of Convergence -- Regression: The Noisless Case -- The Choice of a Nearest Neighbor Estimate -- Part III: Supervised Classification -- Basics of Classification -- The 1-nearest Neighbor Classification Rule -- The Nearest Neighbor Classification Rule. Appendix -- Index.
650 0 $a Nearest neighbor analysis (Statistics) $3 669823
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650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Pattern Recognition. $3 669796
650 2 4 $a Statistics and Computing/Statistics Programs. $3 669775
700 1 $a Devroye, Luc. $3 1070508
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