Adaptive density estimation of stationary β-mixing and τ-mixing processes-Reference-Cited by-同舟云学术

Adaptive density estimation of stationary β-mixing and τ-mixing processes

Published:2009-03 Issue:1 Volume:18 Page:59-83
ISSN:1066-5307
Container-title:Mathematical Methods of Statistics
language:en
Short-container-title:Math. Meth. Stat.

Author:

Lerasle M.

Publisher

Allerton Press

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.3103/S1066530709010049.pdf

Reference27 articles.

1. H. Akaike, “Statistical Predictor Identification,” Ann. Inst. Statist. Math. 22, 203–217 (1970).

2. H. Akaike, “Information Theory and an Extension of the Maximum Likelihood Principle”, in 2nd Internat. Symp. on Inform. Theory (Tsahkadsor, 1971) (Akademiai Kiado, Budapest, 1973), pp. 267–281.

3. D. Andrews, “Nonstrong Mixing Autoregressive Processes”, J. Appl. Probab. 21, 930–934 (1984).

4. S. Arlot, Resampling and Model Selection, Ph.D. Thesis (Univ. Paris-Sud 11, 2007). Available online at http://tel.archives-ouvertes.fr/tel-00198803/en/ .

5. S. Arlot, “Model Selection by Resampling Penalization”, to appear in Electron. J. Statist. (2009).

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