Description
Dr. Zheng Wei
Assistant Professor of Data Science and Statistics
Texas A&M University - Corpus Christi
Bayesian Stochastic Frontier Models under the Skew Normal Settings
Recently, a skew normal-based stochastic frontier model has emerged as a promising tool for efficiency analysis. In this paper, a Bayesian framework for statistical inference is presented, incorporating both informative and non-informative prior knowledge. The efficacy of the Bayesian approach is evaluated through rigorous examination using both simulation data and real data from a manufacturing productivity study. Comparisons with the conventional maximum likelihood approach are conducted. Results from both simulated and empirical investigations unequivocally demonstrate the superior performance of the Bayesian methodology.
Biography
Dr. Zheng Wei is currently an assistant professor of data science and statistics in the Department of Mathematics & Statistics at Texas A&M University - Corpus Christi. His research interests include Bayesian statistical methods for data science, big data and analytics, statistical machine learning methods, statistical methods for analyzing multiway contingency tables and the stochastic frontier model for efficiency analysis
Featuring: Dr. Zheng Wei, Assistant Professor of Data Science and Statistics, Texas A&M University - Corpus Christi
Location
Online
Online Location
Category:
Campus Events
