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Lectures on the nearest neighbor met...

Biau, Gerard.

Lectures on the nearest neighbor method[electronic resource] /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	519.2
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)
Subject:	Mathematics.
Subject:	Probability Theory and Stochastic Processes.
Subject:	Pattern Recognition.
Subject:	Statistics and Computing/Statistics Programs.
ISBN:	9783319253886
ISBN:	9783319253862
[NT 15000228]:	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.
Online resource:	http://dx.doi.org/10.1007/978-3-319-25388-6

Lectures on the nearest neighbor method[electronic resource] /
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:

636390
Nearest neighbor analysis (Statistics)

LC Class. No.: QA278.2

Dewey Class. No.: 519.2

Lectures on the nearest neighbor method[electronic resource] /
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245 1 0 $a Lectures on the nearest neighbor method $h [electronic resource] / $c by Gerard Biau, Luc Devroye.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
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 636390
650 1 4 $a Mathematics. $3 172349
650 2 4 $a Probability Theory and Stochastic Processes. $3 463894
650 2 4 $a Pattern Recognition. $3 463916
650 2 4 $a Statistics and Computing/Statistics Programs. $3 463725
700 1 $a Devroye, Luc. $3 636388
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer series in the data sciences. $3 636389
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25388-6
950 $a Mathematics and Statistics (Springer-11649)

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