Discussion
Discussion of “Minimal penalties and the slope heuristics: a survey” by Sylvain Arlot
[Discussion sur « Pénalités minimales et heuristique de pente » par Sylvain Arlot]
Journal de la société française de statistique, Minimal penalties and the slope heuristics: a survey, Tome 160 (2019) no. 3, pp. 152-153.
commente Minimal penalties and the slope heuristics: a survey
[Pénalités minimales et heuristique de pente] 
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Sardy, Sylvain. Discussion of “Minimal penalties and the slope heuristics: a survey” by Sylvain Arlot. Journal de la société française de statistique, Minimal penalties and the slope heuristics: a survey, Tome 160 (2019) no. 3, pp. 152-153. http://archive.numdam.org/item/JSFS_2019__160_3_152_0/

[1] Birgé, Lucien; Massart, Pascal Minimal penalties for Gaussian model selection, Probability theory and related fields, Volume 138 (2007) no. 1-2, pp. 33-73 | MR | Zbl

[2] Josse, J.; Sardy, S. Adaptive Shrinkage of singular values, Statistics and Computing, Volume 26 (2016) no. 3, pp. 715-724 | MR | Zbl

[3] Sardy, S. Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection, Scandinavian Journal of Statistics, Volume 36 (2009), pp. 577-601 | MR | Zbl

[4] Sardy, S. Smooth blockwise iterative thresholding: a smooth fixed point estimator based on the likelihood’s block gradient, Journal of the American Statistical Association, Volume 107 (2012) no. 498, pp. 800-813 | MR | Zbl

[5] Schwarz, G. Estimating the Dimension of a Model, The Annals of Statistics, Volume 6 (1978) no. 2, pp. 461-464 | MR | Zbl

[6] Stein, C. M. Estimation of the mean of a multivariate normal distribution, The Annals of Statistics, Volume 9 (1981) no. 6, pp. 1135-1151 | MR | Zbl

[7] Zou, H. The Adaptive lasso and Its Oracle Properties, Journal of the American Statistical Association, Volume 101 (2006) no. 476, pp. 1418-1429 | MR | Zbl