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A Bayesian Approach for the Multifractal Analysis of Spatio-Temporal Data

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Fig. 1. Illustration of the cube of 32 × 32 × 32 voxels of time series (left panel) with prescribed multifractal properties c 2 ∈ {−0.01, −0.03, −0.06} (indicated as green, yellow, dark blue, respectively); the slices correspond to those analyzed in Fig
Fig. 2. Estimation of c 2 for one single realization: ground truth (1st column) and estimates obtained using LF, IG and GMRF (2nd to 4th column, respectively) for the 3 slices shown in Fig

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