A Bayesian Approach to Binary Logistic Regression Model with Application to OECD Data

In spite of being a common method for estimating the model parameters, Maximum Likelihood (ML) may give bias results small sample sizes. To overcome this problem, Bayesian is usually utilized to obtain estimates parameters as an alternative ML method. study, real data set was analyzed by using binary logistic regression model. Parameters were estimated and methods. Modeling performance logistics based on compared with estimates. Well-known information criteria such AIC BIC used in comparison.