Informative g-Priors for Logistic Regression
Work
Year: 2014
Type: article
Abstract: Eliciting information from experts for use in constructing prior distributions for logistic regression coefficients can be challenging. The task is especially difficult when the model contains many pr... more
Source: Bayesian Analysis
Institutions University of South Carolina, Oregon State University, University of California, Irvine
Cites: 23
Cited by: 50
Related to: 10
FWCI: 3.993
Citation percentile (by year/subfield): 94.7
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: diamond