Bayesian Learning in Optimal Growth Models Under Uncertainty

  • Sardar M. N. Islam
Part of the Advances in Computational Economics book series (AICE, volume 11)


This paper discusses the computational techniques to model Bayesian learning in optimal growth models under uncertainty. The essential characteristics of the modelling approach adopted here are the following.


Optimal Growth Stochastic Programming Bayesian Learning Prior Probability Distribution Stochastic Programming Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media New York 1999

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  • Sardar M. N. Islam

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