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Empirical priors for prediction in sparse high-dimensional linear
  regression

Empirical priors for prediction in sparse high-dimensional linear regression

3 March 2019
Ryan Martin
Yiqi Tang
ArXivPDFHTML

Papers citing "Empirical priors for prediction in sparse high-dimensional linear regression"

7 / 7 papers shown
Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
Tien Mai
39
0
0
13 May 2025
Empirical Bayes inference in sparse high-dimensional generalized linear
  models
Empirical Bayes inference in sparse high-dimensional generalized linear models
Yiqi Tang
Ryan Martin
47
3
0
14 Mar 2023
Sparse high-dimensional linear regression with a partitioned empirical
  Bayes ECM algorithm
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Alexander C. McLain
A. Zgodic
H. Bondell
39
2
0
16 Sep 2022
High-dimensional properties for empirical priors in linear regression
  with unknown error variance
High-dimensional properties for empirical priors in linear regression with unknown error variance
X. Fang
M. Ghosh
34
5
0
11 Feb 2022
Empirical priors and coverage of posterior credible sets in a sparse
  normal mean model
Empirical priors and coverage of posterior credible sets in a sparse normal mean model
Ryan Martin
Bo Ning
37
18
0
05 Dec 2018
Bayesian inference in high-dimensional linear models using an empirical
  correlation-adaptive prior
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior
Chang-rui Liu
Yue Yang
H. Bondell
Ryan Martin
33
8
0
01 Oct 2018
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is
  low
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low
Rahul Mazumder
P. Radchenko
Antoine Dedieu
25
57
0
10 Aug 2017
1