The autocorrelation function measures the correlation of a signal with a delayed version of itself as a function of the delay. This concept is particularly useful in various applications, including signal processing and statistical analysis, where understanding the persistence or periodicity in data is essential. In the context of Monte Carlo methods, it helps assess how effectively random samples represent underlying distributions by revealing relationships between sampled values over time or space.
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