Author/Authors :
Cengiz, Mehmet Ali Ondokuz Mayıs Üniversitesi - Fen Edebiyat Fakültesi - İstatistik Bölümü, Turkey , Terzi, Erol Ondokuz Mayıs Üniversitesi - Fen Edebiyat Fakültesi - İstatistik Bölümü, Turkey , Şenel, Talat Ondokuz Mayıs Üniversitesi - Fen Edebiyat Fakültesi - İstatistik Bölümü, Turkey , Murat, Naci Ondokuz Mayıs Üniversitesi - Fen Edebiyat Fakültesi - İstatistik Bölümü, Turkey
Abstract :
In statistics, Bayesian inference is a method of inference in which Bayes rule is used to update the probability estimate for a parameter as additional evidence is learned. Bayesian updating is an important technique throughout statistics, and especially in mathematical statistics. Exhibiting a Bayesian derivation for a statistical method automatically ensures that the method works as well as any competing method. In this study, we briefly give Bayesian methodology with two real data application to logistic regression.
