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Empirical priors for prediction in sparse high-dimensional linear
  regression
v1v2 (latest)

Empirical priors for prediction in sparse high-dimensional linear regression

3 March 2019
Ryan Martin
Yiqi Tang
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Quantifying predictive uncertainty of aphasia severity in stroke
  patients with sparse heteroscedastic Bayesian high-dimensional regression
Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression
A. Zgodic
Ray Bai
Jiajia Zhang
Yuan Wang
Chris Rorden
Alexander C. McLain
115
0
0
15 Sep 2023
A comparison of learning rate selection methods in generalized Bayesian
  inference
A comparison of learning rate selection methods in generalized Bayesian inference
Pei-Shien Wu
Ryan Martin
BDL
73
48
0
21 Dec 2020
Variational Bayes for high-dimensional linear regression with sparse
  priors
Variational Bayes for high-dimensional linear regression with sparse priors
Kolyan Ray
Botond Szabó
82
99
0
15 Apr 2019
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
66
18
0
05 Dec 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
439
59
0
10 Aug 2017
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