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Guidelines For Model Adaptation: A Study Of The Transferability Of A General Seagrass Ecosystem Dynamic Bayesian Networks Model, Paula Sobenko Hatum, Kathryn Mcmahon, Kerrie Mengersen, Paul Pao Yen Wu

Research outputs 2022 to 2026

In general, it is not feasible to collect enough empirical data to capture the entire range of processes that define a complex system, either intrinsically or when viewing the system from a different geographical or temporal perspective. In this context, an alternative approach is to consider model transferability, which is the act of translating a model built for one environment to another less well-known situation. Model transferability and adaptability may be extremely beneficial—approaches that aid in the reuse and adaption of models, particularly for sites with limited data, would benefit from widespread model uptake. Besides the reduced effort required to …