Optimal Kernel Selection for Density Estimation-Reference-Cited by-同舟云学术

Optimal Kernel Selection for Density Estimation

Published:2016 Issue: Volume: Page:425-460
ISSN:1050-6977
Container-title:High Dimensional Probability VII
language:
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Author:

Lerasle Matthieu,Magalhães Nelo Molter,Reynaud-Bouret Patricia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-40519-3_19

Reference25 articles.

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2. S. Arlot, F. Bach, Data-driven calibration of linear estimators with minimal penalties, in Advances in Neural Information Processing Systems 22 (2009), pp. 46–54

3. S. Arlot, P. Massart, Data-driven calibration of penalties for least-squares regression. J. Mach. Learn. Res. 10, 245–279 (2009)

4. L. Birgé, Statistical estimation with model selection. Indag. Math. (N.S.) 17 (4), 497–537 (2006)

5. L. Birgé, P. Massart, Minimal penalties for Gaussian model selection. Probab. Theory Relat. Fields 138 (1–2), 33–73 (2007)

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