Work

Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics

Year: 2015

Type: article

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btv037

Authors: Charles K. Fisher, Pankaj Mehta

Institution: Boston University

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2135953049

FWCI: 0.866

Cites: 40

Cited by: 19

Related to: 10