Solving the Empirical Bayes Normal Means Problem with Correlated Noise

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Solving the Empirical Bayes Normal Means Problem with Correlated Noise

18 December 2018

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Papers citing "Solving the Empirical Bayes Normal Means Problem with Correlated Noise"

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Title
A fast algorithm for maximum likelihood estimation of mixture proportions using sequential quadratic programming Youngseok Kim P. Carbonetto M. Stephens M. Anitescu 35 30 0 04 Jun 2018
Confounder Adjustment in Multiple Hypothesis Testing Jingshu Wang Qingyuan Zhao Trevor Hastie Art B. Owen CML 42 106 0 17 Aug 2015
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator Judith Rousseau Botond Szabó 68 56 0 19 Apr 2015
Bayes and empirical Bayes: do they merge? Sonia Petrone Judith Rousseau Catia Scricciolo FedML 91 77 0 06 Apr 2012
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem James G. Scott J. Berger 138 581 0 10 Nov 2010
Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means L. Brown E. Greenshtein 132 155 0 12 Aug 2009
General maximum likelihood empirical Bayes estimation of normal means Wenhua Jiang Cun-Hui Zhang 339 215 0 12 Aug 2009
Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations J. Bovy D. Hogg S. Roweis 79 126 0 19 May 2009
Innovated higher criticism for detecting sparse signals in correlated noise P. Hall Jiashun Jin 93 218 0 23 Feb 2009
On false discovery control under dependence Wei Biao Wu 122 88 0 13 Mar 2008
Size, power and false discovery rates B. Efron 360 423 0 11 Oct 2007