A Bayesian calibration framework that combines empirical data with expert, theoretical, and qualitative constraints, demonstrated on coral, ecosystem, and biochemical models.
For the system to be considered adaptive, two conditions must be met after it is stimulated: sensitivityandprecision(Ma et al., 2009)
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Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
A Bayesian calibration framework that combines empirical data with expert, theoretical, and qualitative constraints, demonstrated on coral, ecosystem, and biochemical models.