A New Bayesian Group Bridge to Solve the Tobit Model

  • Saja Aljanabi Statistics Department, College of Administration and Economics, University of Al-Qadisiyah, Al Diwaniyah, Iraq
  • Rahim Alhamzawi Statistics Department, College of Administration and Economics, University of Al-Qadisiyah, Al Diwaniyah, Iraq
Keywords: left- censored regression, variable selection, Bayesian group Bridge left- censored regression (BGBRLC)

Abstract

In this paper, we propose a new approach of regularization for the left censored data (Tobit). Specifically, we propose a new Bayesian group Bridge for left-censored regression ( BGBRLC). We developed a new Bayesian hierarchical model and we suggest a new Gibbs sampler for posterior sampling. The results show that the new approach performs very well compared to some existing approaches.

Published
2020-05-17
How to Cite
AljanabiS., & AlhamzawiR. (2020). A New Bayesian Group Bridge to Solve the Tobit Model. Iraqi Journal of Science, 215-222. https://doi.org/10.24996/ijs.2020.SI.1.29