Hoa Pham

A new Bayesian approach to reduce estimation errors in logistic regression models

When a logistic regression dataset contains a large number of observations with estimated probabilities very close to 0 or 1, the Maximum Likelihood Estimation (MLE) method often encounters difficulties in parameter estimation and may produce unstable estimates with large errors. In this context, the Bayesian approach...