New method detects hidden relationships in time series data accurately.
Distance correlation is a new way to measure how related sets of numbers are. Scientists studied how this can help analyze time series data. They found that distance correlation can show connections between numbers that aren't just straight lines. This can be useful for checking if data is randomly spread out or not. They also compared distance correlation to other methods of measuring relationships.