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Consistency of Bayesian Linear Model Selection With a Growing Number of
  Parameters

Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters

4 February 2011
Zuofeng Shang
M. Clayton
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Papers citing "Consistency of Bayesian Linear Model Selection With a Growing Number of Parameters"

5 / 5 papers shown
Title
Consistency of objective Bayes factors as the model dimension grows
Consistency of objective Bayes factors as the model dimension grows
E. Moreno
Javier Girón
George Casella
83
91
0
19 Oct 2010
Consistency of Bayesian procedures for variable selection
Consistency of Bayesian procedures for variable selection
George Casella
Javier Girón
Lina Martínez
E. Moreno
55
147
0
20 Apr 2009
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
269
869
0
07 Aug 2008
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
221
879
0
01 Jun 2008
Bayesian variable selection for high dimensional generalized linear
  models: convergence rates of the fitted densities
Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities
Wenxin Jiang
387
93
0
18 Oct 2007
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