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Lectures on the Nearest Neighbor Method

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Cover of 'Lectures on the Nearest Neighbor Method'

Table of Contents

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    Book Overview
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    Chapter 1 Order statistics and nearest neighbors
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    Chapter 2 The nearest neighbor distance
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    Chapter 3 The k -nearest neighbor density estimate
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    Chapter 4 Uniform consistency
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    Chapter 5 Weighted k -nearest neighbor density estimates
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    Chapter 6 Local behavior
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    Chapter 7 Entropy estimation
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    Chapter 8 The nearest neighbor regression function estimate
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    Chapter 9 The 1-nearest neighbor regression function estimate
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    Chapter 10 L p -consistency and Stone’s theorem
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    Chapter 11 Pointwise consistency
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    Chapter 12 Uniform consistency
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    Chapter 13 Advanced properties of uniform order statistics
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    Chapter 14 Rates of convergence
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    Chapter 15 Regression: the noiseless case
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    Chapter 16 The choice of a nearest neighbor estimate
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    Chapter 17 Basics of classification
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    Chapter 18 The nearest neighbor rule: fixed k
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    Chapter 19 The nearest neighbor rule: variable k
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    Chapter 20 Appendix
Attention for Chapter 2: The nearest neighbor distance
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Chapter title
The nearest neighbor distance
Chapter number 2
Book title
Lectures on the Nearest Neighbor Method
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-25388-6_2
Book ISBNs
978-3-31-925386-2, 978-3-31-925388-6
Authors

Gérard Biau, Luc Devroye

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Postgraduate 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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