Model Discrimination Using Markov Chain Monte Carlo Methods
Model discrimination deals with situations where there are several candidate models available to represent a system. The objective is to find the “best” model among rival models with respect to prediction of system behavior. Empirical and mechanistic models are two important categories of models....
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| Language: | en |
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2013
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| Online Access: | http://hdl.handle.net/10012/7465 |