Informative g-Priors for Logistic Regression
Informative g-Priors for Logistic Regression
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 predictor variables, because the expert is asked to provide summary information about the probability of "success" for many subgroups of the population. Often, …