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Slope heuristics and V-Fold model selection in heteroscedastic
  regression using strongly localized bases
v1v2v3 (latest)

Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases

21 May 2015
F. Navarro
Adrien Saumard
ArXiv (abs)PDFHTML

Papers citing "Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases"

4 / 4 papers shown
Title
Aggregated hold out for sparse linear regression with a robust loss
  function
Aggregated hold out for sparse linear regression with a robust loss function
G. Maillard
FedML
76
1
0
26 Feb 2020
Nonparametric estimation in a regression model with additive and
  multiplicative noise
Nonparametric estimation in a regression model with additive and multiplicative noise
C. Chesneau
Salima El Kolei
Junke Kou
F. Navarro
78
11
0
18 Jun 2019
On optimality of empirical risk minimization in linear aggregation
On optimality of empirical risk minimization in linear aggregation
Adrien Saumard
75
21
0
11 May 2016
Concentration behavior of the penalized least squares estimator
Concentration behavior of the penalized least squares estimator
Alan Muro
Sara van de Geer
51
10
0
27 Nov 2015
1