Conditions for Posterior Contraction in the Sparse Normal Means Problem

8 October 2015

Papers citing "Conditions for Posterior Contraction in the Sparse Normal Means Problem"

9 / 9 papers shown

Title
On the Computational Complexity of High-Dimensional Bayesian Variable Selection Yun Yang Martin J. Wainwright Michael I. Jordan 78 151 0 29 May 2015
The Horseshoe+ Estimator of Ultra-Sparse Signals A. Bhadra J. Datta Nicholas G. Polson Brandon T. Willard 65 163 0 02 Feb 2015
Posterior Concentration Properties of a General Class of Shrinkage Priors around Nearly Black Vectors P. Ghosh A. Chakrabarti 28 18 0 28 Dec 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 64 169 0 01 Apr 2014
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 119 379 0 04 Mar 2014
Dirichlet-Laplace priors for optimal shrinkage A. Bhattacharya D. Pati Natesh S. Pillai David B. Dunson 84 440 0 21 Jan 2014
On adaptive posterior concentration rates M. Hoffmann Judith Rousseau Johannes Schmidt-Hieber 113 85 0 22 May 2013
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector Ryan Martin S. Walker 54 65 0 27 Apr 2013
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences I. Castillo A. van der Vaart 94 251 0 06 Nov 2012