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A Difference Stationary Process is a Time Series that becomes stationary after differencing a certain number of times, meaning its Statistical Properties like mean and variance become constant over time. It is often used in econometrics and Time Series analysis to model non-Stationary data and is a key component of the ARIMA Model.
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