Definition: A time series model that predicts the current value as a linear combination of its past values.
Mathematical form (AR(p)):
where is white noise.
- Purpose: Forecasting future values from historical dependencies.
- Use cases:
- ARIMA modeling.
- Capturing short-term dependencies.