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

v1v2v3 (latest)

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

23 August 2022

ArXiv (abs)PDF HTML

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 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 Joonsuk Kang Matthew Stephens 62 0 0 06 Dec 2023
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 Alexander C. McLain A. Zgodic H. Bondell 84 2 0 16 Sep 2022
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 Jason Willwerscheid P. Carbonetto M. Stephens 39 7 0 01 Oct 2021