Visually unifying information-theoretic measures for time series

🔗📕 Preprint: Unifying concepts in information-theoretic time-series analysis

Decomposing the elements of a time series, in the context of a stochastic process and a specific realization

Figure 1 from Bryant et al. (2025): Unifying concepts in information-theoretic time-series analysis.

Three key characteristics distinguish the information-theoretic time-series measures covered here

Figure 2 from Bryant et al. (2025): Unifying concepts in information-theoretic time-series analysis.

An all-in-one schematic and tabular reference for key information-theoretic time-series measures

Figure 3 from Bryant et al. (2025): Unifying concepts in information-theoretic time-series analysis.

Table 1 from Bryant et al. (2025): Unifying concepts in information-theoretic time-series analysis.

An illustrative case study focusing on functional neuroimaging time series

Figure 4 from Bryant et al. (2025): Unifying concepts in information-theoretic time-series analysis.