Recursive Estimation and Time-Series Analysis. An Introduction for the Student and Practitioner, Second edition, Peter C. Young. Springer (2011), 504 pp., Hardcover, $119.00, ISBN: 978-3-642-21980-1

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Characterising performance of environmental models (2013, methodology): “Other examples of parameter-based metrics are the Akaike Information Criterion (AIC) (Akaike, 1974), the similar Bayesian Information Criteria (Schwarz, 1978), originally designed for linearin-parameters models to prevent over-fitting with too many parameters, and the Young Information Criterion (YI”
Nonlinear System Identification: A User-Oriented Road Map (2019, methodology): “It is based on a DataBased Mechanistical Modeling approach as explained in [102], where the objective is to obtain a model that can be interpreted in the mechanistic terms that are most appropriate to the nature of the dynamic system.”
Tree‐based iterative input variable selection for hydrological modeling (2013, background): “…accuracy index (e.g., coefficient of determination, mean-squared error, etc.) or a more sophisticated metric balancing accuracy and parsimoniousness (e.g., Akaike information criterion, Bayesian information criterion, or Young identification criterion [see Young, 2011, and references therein]).”