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ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem
  Using a Variety of Prior Families
v1v2v3 (latest)

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families

1 October 2021
Jason Willwerscheid
P. Carbonetto
M. Stephens
ArXiv (abs)PDFHTML

Papers citing "ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families"

2 / 2 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
3
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
1