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Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
Mathematical models connect theory with the real world through data, enabling us to interpret, understand, and predict complex phenomena. However, scientific knowledge often extends beyond what can be empirically measured, offering valuable insights into complex and uncertain systems. Here, we intro
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