Intro to Probabilistic Methods
Autocorrelation is a statistical concept that measures the correlation of a signal with a delayed version of itself over various time intervals. It is particularly important in time series analysis as it helps identify patterns or trends in data that are collected over time, such as seasonality and cyclic behavior, which can influence the validity of statistical models and predictions.
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