Question: 5 2 points What is the difference between causal forecasting and time series forecasting? Causal forecasting assumes a cause and effect model, while time series
points
What is the difference between causal forecasting and time series forecasting?
Causal forecasting assumes a cause and effect model, while time series forecasting merely tries to predict future numerical parameters on the basis of past observations.
Causal forecasting assumes a cause and effect model, while time series forecasting merely tries to predict current numerical parameters on the basis of past observations.
Time seriesl forecasting assumes a cause and effect model, while causal forecasting merely tries to predict future numerical parameters on the basis of past observations.
Causal forecasting assumes a cause and effect model, while time series forecasting predicts past numerical parameters on the basis of current observations.
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