Bayesian Stochastic Frontier Analysis with MATLAB
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Updated
Mar 10, 2018 - MATLAB
Bayesian Stochastic Frontier Analysis with MATLAB
R Package For SFA (Stochastic Frontier Analysis) Using Traditional Statistical Methods
sftt: Two-tier stochastic frontier analysis using Stata
Function fitbsf for Bayesian Stochastic Frontier Analysis
Development version of sfa CRAN package
Stata package for robust stochastic frontier analysis
Python package for frontier analysis
Stata package to enable estimation of stochastic frontier models with contaminated normal noise distributions
Bayesian deep learning methods for stochastic frontier analysis with shape constraints, sparsity, and technical efficiency estimation.
Stochastic Frontier Analysis with Python. ML and Bayesian estimation.
Simulate Data for Stochastic Frontier Analysis
SF-BMA: Bayesian Model Averaging and Selection for Stochastic Frontier Models. MATLAB package.
A Julia package for stochastic frontier analysis, estimating production or cost frontiers while separating inefficiency from statistical noise.
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