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Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
27 April 2013
Ryan Martin
S. Walker
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Papers citing
"Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector"
14 / 14 papers shown
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Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences
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A nonparametric empirical Bayes framework for large-scale multiple testing
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Estimation of a sparse group of sparse vectors
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Optimal rates of convergence for covariance matrix estimation
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Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing
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Jiashun Jin
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A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
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Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
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E. Greenshtein
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12 Aug 2009
General maximum likelihood empirical Bayes estimation of normal means
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Cun-Hui Zhang
345
216
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12 Aug 2009
Gibbs posterior for variable selection in high-dimensional classification and data mining
Wenxin Jiang
M. Tanner
92
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31 Oct 2008
A comparison of the Benjamini-Hochberg procedure with some Bayesian rules for multiple testing
M. Bogdan
J. Ghosh
S. Tokdar
103
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16 May 2008
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan
Alexandre B. Tsybakov
149
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19 Mar 2008
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
235
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26 Nov 2007
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