Machine Learning Engineering
Stationarity refers to a statistical property of a time series where its mean, variance, and autocorrelation structure do not change over time. This concept is crucial in time series analysis, as many forecasting methods assume that the underlying data generating process remains constant, allowing for more reliable predictions. When data is stationary, it indicates that any patterns or trends are stable over time, making it easier to model and forecast future values.
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