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Combinatorial Methods in Density Estimation
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Concentration Inequalities
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Chapter 3
Uniform Deviation Inequalities
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Chapter 4
Combinatorial Tools
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Chapter 5
Total Variation
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Chapter 6
Choosing a Density Estimate
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Chapter 7
Skeleton Estimates
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Chapter 8
The Minimum Distance Estimate: Examples
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Chapter 9
The Kernel Density Estimate
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Chapter 10
Additive Estimates and Data Splitting
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Chapter 11
Bandwidth Selection for Kernel Estimates
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Chapter 12
Multiparameter Kernel Estimates
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Chapter 13
Wavelet Estimates
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Chapter 14
The Transformed Kernel Estimate
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Chapter 15
Minimax Theory
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Chapter 16
Choosing the Kernel Order
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Chapter 17
Bandwidth Choice with Superkernels
Overall attention for this book and its chapters
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Mentioned by
syllabi
3
institutions with syllabi
Citations
dimensions_citation
392
Dimensions
Book overview
1. Introduction
2. Concentration Inequalities
3. Uniform Deviation Inequalities
4. Combinatorial Tools
5. Total Variation
6. Choosing a Density Estimate
7. Skeleton Estimates
8. The Minimum Distance Estimate: Examples
9. The Kernel Density Estimate
10. Additive Estimates and Data Splitting
11. Bandwidth Selection for Kernel Estimates
12. Multiparameter Kernel Estimates
13. Wavelet Estimates
14. The Transformed Kernel Estimate
15. Minimax Theory
16. Choosing the Kernel Order
17. Bandwidth Choice with Superkernels
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
3
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Florida State University
1
Unknown
Westfälische Wilhelms-Universität Münster
1
Economics, Biology
University of North Carolina at Chapel Hill
1
Unknown