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

<div>Comparison of the discriminating power of the traditional AIC and the proposed AIC<sub>MICx</sub>. On the (<i>y</i>) axis the difference between the indicators for the various models and the reference one used to generate the data, is reported. On the (<i>x</i>) axis a scan in the number of entries.</div>

Complexity

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Figure 2: 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 

Figure 2 | 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 