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Conditions for Posterior Contraction in the Sparse Normal Means Problem
v1v2 (latest)

Conditions for Posterior Contraction in the Sparse Normal Means Problem

8 October 2015
S. V. D. Pas
J. Salomond
Johannes Schmidt-Hieber
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Global-Local Shrinkage Priors for Asymptotic Point and Interval
  Estimation of Normal Means under Sparsity
Global-Local Shrinkage Priors for Asymptotic Point and Interval Estimation of Normal Means under Sparsity
Zikun Qin
Malay Ghosh
22
1
0
29 Oct 2023
Posterior Contraction rate and Asymptotic Bayes Optimality for one-group
  shrinkage priors in sparse normal means problem
Posterior Contraction rate and Asymptotic Bayes Optimality for one-group shrinkage priors in sparse normal means problem
Sayantan Paul
A. Chakrabarti
27
0
0
04 Nov 2022
Nearly Optimal Variational Inference for High Dimensional Regression
  with Shrinkage Priors
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors
Jincheng Bai
Qifan Song
Guang Cheng
BDL
33
4
0
24 Oct 2020
HALO: Learning to Prune Neural Networks with Shrinkage
HALO: Learning to Prune Neural Networks with Shrinkage
Skyler Seto
M. Wells
Wenyu Zhang
43
0
0
24 Aug 2020
Additive stacking for disaggregate electricity demand forecasting
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza
B. Palumbo
Y. Goude
S. Wood
Matteo Fasiolo
AI4TS
85
7
0
20 May 2020
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model
  posteriors with guaranteed convergence rates
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates
A. Nishimura
M. Suchard
97
9
0
06 Nov 2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Horseshoe Regularization for Machine Learning in Complex and Deep Models
A. Bhadra
J. Datta
Yunfan Li
Nicholas G. Polson
70
15
0
24 Apr 2019
Bayesian variance estimation in the Gaussian sequence model with partial
  information on the means
Bayesian variance estimation in the Gaussian sequence model with partial information on the means
G. Finocchio
Johannes Schmidt-Hieber
46
0
0
09 Apr 2019
Spike and slab empirical Bayes sparse credible sets
Spike and slab empirical Bayes sparse credible sets
I. Castillo
Botond Szabó
59
20
0
23 Aug 2018
Empirical Bayes analysis of spike and slab posterior distributions
Empirical Bayes analysis of spike and slab posterior distributions
I. Castillo
Romain Mismer
72
31
0
05 Jan 2018
On the Exponentially Weighted Aggregate with the Laplace Prior
On the Exponentially Weighted Aggregate with the Laplace Prior
A. Dalalyan
Edwin Grappin
Q. Paris
49
19
0
25 Nov 2016
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Bayesian Sparse Linear Regression with Unknown Symmetric Error
Minwoo Chae
Lizhen Lin
David B. Dunson
75
15
0
06 Aug 2016
Uncertainty quantification for the horseshoe
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
94
74
0
07 Jul 2016
Prediction risk for the horseshoe regression
Prediction risk for the horseshoe regression
A. Bhadra
J. Datta
Yunfan Li
Nicholas G. Polson
Brandon T. Willard
167
16
0
16 May 2016
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