What are the types of time series models?

Time series models are statistical models that aim to make predictions based on the patterns observed in historical data over time. There are several types of time series models, including univariate models, multivariate models, autoregressive models, moving average models, seasonal models, and ARIMA models. Univariate models estimate future values of a single variable, while multivariate models use multiple variables to make predictions. Autoregressive models use past values of a variable to predict future values, while moving average models use both past and present values. Seasonal models are used when there are repeating patterns in the data, and ARIMA models combine the features of autoregressive and moving average models. The choice of model depends on the nature of the data and the purpose of the analysis.

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