The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors

1 April 2014

Papers citing "The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors"

19 / 19 papers shown

Title
False Discovery Rate Control via Frequentist-assisted Horseshoe Qiaoyu Liang Zihan Zhu Ziang Fu Michael Evans 49 0 0 08 Feb 2025
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 42 5 0 04 Mar 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion Veronika Rockova 6 0 0 05 Sep 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 51 0 0 25 May 2023
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior Claudio Busatto F. Stingo 28 2 0 13 Feb 2023
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery Joshua C. Chang Carson C. Chow Julia Porcino 37 1 0 20 Oct 2022
Posterior Consistency for Bayesian Relevance Vector Machines X. Fang M. Ghosh BDL 10 0 0 11 Feb 2022
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 19 94 0 04 Oct 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
The Inverse Gamma-Gamma Prior for Optimal Posterior Contraction and Multiple Hypothesis Testing Ray Bai M. Ghosh 10 7 0 12 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 34 23 0 02 May 2017
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 27 71 0 07 Jul 2016
Needles and straw in a haystack: robust confidence for possibly sparse sequences E. Belitser N. Nurushev 22 24 0 05 Nov 2015
Fast sampling with Gaussian scale-mixture priors in high-dimensional regression A. Bhattacharya Antik Chakraborty Bani Mallick 27 176 0 15 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 30 7 0 26 May 2015
Comparison of Bayesian predictive methods for model selection Juho Piironen Aki Vehtari 19 279 0 30 Mar 2015
Rate-optimal posterior contraction for sparse PCA Chao Gao Harrison H. Zhou 48 35 0 30 Nov 2013
The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA? Yaácov Ritov Peter J. Bickel A. Gamst B. Kleijn 48 28 0 25 Mar 2012