Kernel classification with missing data and the choice of smoothing parameters-Reference-Cited by-同舟云学术

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Kernel classification with missing data and the choice of smoothing parameters

Published:2017-02-02 Issue:5 Volume:60 Page:1487-1513
ISSN:0932-5026
Container-title:Statistical Papers
language:en
Short-container-title:Stat Papers

Author:

Demirdjian Levon,Mojirsheibani Majid

Funder

IRIS-CSUN

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00362-017-0883-y.pdf

Reference29 articles.

1. Breiman L (1996) Out-of-bag estimation. Unpublished Technical Report, UC Berkeley

2. Bontemps C, Racine JS, Simioni M (2009) Nonparametric vs parametric binary choice models: an empirical investigation. Toulouse School of Economics TSE Working Papers with number 09-126

3. Chung H, Han C (2000) Discriminant analysis when a block of observations is missing. Ann Inst Stat Math 52:544–556

4. Devroye L (1981) On the almost everywhere convergence of nonparametric regression function estimates. Ann Stat 9:1310–1319

5. Devroye L (1982) Bounds for the uniform deviation of empirical measures. J Multivar Anal 12:72–79

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On statistical classification with incomplete covariates via filtering;Journal of Statistical Computation and Simulation;2020-12-08

2. Classification with incomplete functional covariates;Statistics & Probability Letters;2018-08

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