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Figure 1

From: Compression complexity with ordinal patterns for robust causal inference in irregularly sampled time series

Figure 1

Specificity and sensitivity of methods with varying length. True positive rate (or rate of significant causality estimated from \(x_1 \rightarrow x_2\)) and false positive rate (or rate of significant causality estimated from \(x_2 \rightarrow x_1\)), using measures (a) scalar CCC (CCC), (b) permutation CCC (PCCC), (c) scalar CMI (CMI1), (d) permutation CMI (PCMI) and (e) three-dimensional CMI (CMI3), as the length of time series, N, is varied.

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