Intro to Time Series
Causality refers to the relationship between two events where one event (the cause) directly influences the occurrence of another event (the effect). Understanding causality is crucial in time series analysis as it helps in identifying how changes in one variable can lead to changes in another, establishing a clearer understanding of the underlying dynamics of the data.
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