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Uncertainty quantification for the horseshoe

Uncertainty quantification for the horseshoe

7 July 2016
S. V. D. Pas
Botond Szabó
A. van der Vaart
ArXivPDFHTML

Papers citing "Uncertainty quantification for the horseshoe"

7 / 7 papers shown
Title
Deep Horseshoe Gaussian Processes
Deep Horseshoe Gaussian Processes
Ismael Castillo
Thibault Randrianarisoa
BDL
UQCV
42
5
0
04 Mar 2024
Empirical Bayes inference in sparse high-dimensional generalized linear
  models
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
30
3
0
14 Mar 2023
Inference of multiple high-dimensional networks with the Graphical
  Horseshoe prior
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior
Claudio Busatto
F. Stingo
28
2
0
13 Feb 2023
Empirical Bayes cumulative $\ell$-value multiple testing procedure for
  sparse sequences
Empirical Bayes cumulative ℓ\ellℓ-value multiple testing procedure for sparse sequences
Kweku Abraham
I. Castillo
Étienne Roquain
11
6
0
01 Feb 2021
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
37
28
0
22 Oct 2020
Nearly optimal Bayesian Shrinkage for High Dimensional Regression
Nearly optimal Bayesian Shrinkage for High Dimensional Regression
Qifan Song
F. Liang
16
76
0
24 Dec 2017
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
24
22
0
16 Sep 2016
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