The damping factor is a parameter used in forecasting models that helps to reduce the impact of random fluctuations in data, leading to smoother predictions. In exponential smoothing state space models, it plays a crucial role in adjusting the weights given to past observations, ultimately influencing how quickly the model adapts to changes in the underlying data trend. This concept is essential for ensuring that forecasts remain relevant and accurate over time.
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