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A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
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A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression

Youngseok Kim
Wei Wang
P. Carbonetto
M. Stephens
ArXiv (abs)PDFHTML

Papers citing "A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression"

6 / 6 papers shown
Title
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Olawale Salaudeen
Anka Reuel
Ahmed M. Ahmed
Suhana Bedi
Zachary Robertson
Siyang Song
Ben Domingue
Angelina Wang
Sanmi Koyejo
ELM
89
0
0
13 May 2025
Empirical Bayes Covariance Decomposition, and a solution to the Multiple Tuning Problem in Sparse PCA
Empirical Bayes Covariance Decomposition, and a solution to the Multiple Tuning Problem in Sparse PCA
Joonsuk Kang
Matthew Stephens
62
0
0
06 Dec 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
82
5
0
28 Sep 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
84
2
0
16 Sep 2022
A nonparametric regression alternative to empirical Bayes approaches to simultaneous estimation
A nonparametric regression alternative to empirical Bayes approaches to simultaneous estimation
Alton Barbehenn
S. Zhao
39
3
0
30 Apr 2022
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
Jason Willwerscheid
P. Carbonetto
M. Stephens
39
7
0
01 Oct 2021