Question

what is time series and naive forecasting models

Answer 1

Answer:

In the Naïve model, the forecasts for every horizon correspond to the last observed value. This kind of forecast assumes that the stochastic model generating the time series is a random walk. Therefore the forecasts for the following T time steps are equal to the previous T time start

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Answer 2

Answer:

In the Naïve model, the forecasts for every horizon correspond to the last observed value. This kind of forecast assumes that the stochastic model generating the time series is a random walk. Therefore the forecasts for the following T time steps are equal to the previous T time steps.

Explanation:

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