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Mathematically, the correlation is computed as follows.
The fear correlation is computed based on fear indices between April 15 and 21.
Based on these probabilities, the likelihood of alert correlation is computed for all relevant events.
To create a fast tracker, correlation is computed in the Fourier domain with fast Fourier transform (FFT).
To decode, a scalar correlation is computed and the final decision is computed with a maximum likelihood decision rule.
Concretely, the correlation is computed by using Spearman's rank correlation coefficient, which measures the strength of two cities' fear indicies increasing or decreasing consistently regardless of the amount.
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1All variables were square root transformed before correlation was computed.
Correlation was computed with Pearson's r test.
Spearman's rank correlation was computed across 62.5 ms long, non-overlapping windows around these events.
Spearman's rank correlation was computed to assess associations between variables.
The partial correlation was computed using a general linear modeling (GLM) framework as follows.
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