Adaptive posterior contraction rates for the horseshoe

13 February 2017

Papers citing "Adaptive posterior contraction rates for the horseshoe"

17 / 17 papers shown

Title
False Discovery Rate Control via Frequentist-assisted Horseshoe Qiaoyu Liang Zihan Zhu Ziang Fu Michael Evans 114 0 0 08 Feb 2025
Sparse Horseshoe Estimation via Expectation-Maximisation Shu Yu Tew Daniel F. Schmidt E. Makalic 51 2 0 07 Nov 2022
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
Efficient posterior sampling for Bayesian Poisson regression Laura DÁngelo A. Canale 68 13 0 20 Sep 2021
Horseshoe shrinkage methods for Bayesian fusion estimation Sayantan Banerjee 39 11 0 15 Feb 2021
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors N. Biswas A. Bhattacharya Pierre E. Jacob J. Johndrow 78 14 0 09 Dec 2020
Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates A. Nishimura M. Suchard 110 9 0 06 Nov 2019
Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel? Amine Hadji B. Szabó 56 16 0 02 Apr 2019
Empirical priors and coverage of posterior credible sets in a sparse normal mean model Ryan Martin Bo Ning 66 18 0 05 Dec 2018
On spike and slab empirical Bayes multiple testing I. Castillo Étienne Roquain 75 35 0 29 Aug 2018
Spike and slab empirical Bayes sparse credible sets I. Castillo Botond Szabó 69 20 0 23 Aug 2018
Empirical Bayes analysis of spike and slab posterior distributions I. Castillo Romain Mismer 72 31 0 05 Jan 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 67 79 0 24 Dec 2017
Empirical priors and posterior concentration in a piecewise polynomial sequence model Chang Liu Ryan Martin Weining Shen 40 6 0 11 Dec 2017
Contributed Discussion to Uncertainty Quantification for the Horseshoe by Stéphanie van der Pas, Botond Szabó and Aad van der Vaart W. Yoo 35 3 0 16 Oct 2017
Bayes Shrinkage at GWAS scale: Convergence and Approximation Theory of a Scalable MCMC Algorithm for the Horseshoe Prior J. Johndrow Paulo Orenstein A. Bhattacharya 100 24 0 02 May 2017
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 94 74 0 07 Jul 2016