Time Series Forecasting Methods - Statistical

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Classical time series forecasting methods may be focused on linear relationships, nevertheless, they are sophisticated and perform well on a wide range of problems, assuming that your data is suitably prepared and the method is well configured. 11 Classical Time Series Forecasting Methods in Python (Cheat Sheet) | Jason Brownlee - Machine Learning Mastery

Autoregression (AR)

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Moving Average (MA)

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Autoregressive Moving Average (ARMA)

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Autoregressive Integrated Moving Average (ARIMA)

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Seasonal Autoregressive Integrated Moving-Average (SARIMA)

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Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors (SARIMAX)

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Vector Autoregression (VAR)

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Vector Autoregression Moving-Average (VARMA)

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Vector Autoregression Moving-Average with Exogenous Regressors (VARMAX)

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Simple Exponential Smoothing (SES)

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Holt Winter’s Exponential Smoothing (HWES)

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