نموذج Tobit Quantile Regression البيزي باستعمال المستوى الرابع من التوزيعات الأولية
نویسندگان
چکیده
منابع مشابه
Bayesian Tobit quantile regression using g-prior distribution with ridge parameter
A Bayesian approach is proposed for coefficient estimation in Tobit quantile regression model. The proposed approach is based on placing a g-prior distribution depends on the quantile level on the regression coefficients. The prior is generalized by introducing a ridge parameter to address important challenges that may arise with censored data, such as multicollinearity and overfitting problems...
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ژورنال
عنوان ژورنال: Journal of Economics and Administrative Sciences
سال: 2018
ISSN: 2227-703X,2518-5764
DOI: 10.33095/jeas.v24i105.59