Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data
It can be argued that the identification of sound mathematical models is the ultimate goal of any scientific endeavour. On the other hand, particularly in the investigation of complex systems and nonlinear phenomena, discriminating between alternative models can be a very challenging task. Quite sop...
Main Authors: | Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2022-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/9518303 |
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