Linear predictive analysis (LPA) is a statistical technique primarily used in time series forecasting and signal processing. It involves creating a linear model that predicts future values based on past values of a time series. Here are some key aspects of linear predictive analysis: ### 1. **Basic Concept** - The core idea is to model a current value of a time series as a linear combination of its previous values.
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