Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
Journal of Applied Econometrics, Vol. 17, No. 5, Special Issue: Modelling and Forecasting Financial Volatility (Sep. - Oct., 2002), pp. 509-534 (26 pages) Theoretical and practical interest in ...
In this paper, we propose the copula-based maximum likelihood (ML) approach to estimate the multiple stochastic frontier (SF) models with correlated composite errors. The motivation behind the ...
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