Persistence

Information

• Persistence model is the simplest form of time series forecasting.
• It involves using the last observed value of a time series as the prediction for the next time step.
• The method is based on the assumption that the future values of a time series will be the same as the most recent past value.
• The persistence model is also called the "naive method".
• The persistence model is easy to implement, but it may not work well for time series data with complex patterns.
• The persistence model is useful as a baseline for evaluating more sophisticated forecasting models.