Journal
JOURNAL OF APPLIED STATISTICS
Volume 45, Issue 1, Pages 17-25Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02664763.2016.1257586
Keywords
Bayesian; stochastic frontier analysis; Bayesian network; energy
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More recently a large amount of interest has been devoted to the use of Bayesian methods for deriving parameter estimates of the stochastic frontier analysis. Bayesian stochastic frontier analysis (BSFA) seems to be a useful method to assess the efficiency in energy sector. However, BSFA results do not expose the multiple relationships between input and output variables and energy efficiency. This study proposes a framework to make inferences about BSFA efficiencies, recognizing the underlying relationships between variables and efficiency, using Bayesian network (BN) approach. BN classifiers are proposed as a method to analyze the results obtained from BSFA.
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