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Forecasting with Input Variables
To forecast a response series using an ARIMA model with inputs, you need values of the input series for the forecast periods. You can supply values for the input variables for the forecast periods in ...
Simon Fraser University7y
ARIMA Statement
The ARIMA statement options control the ARIMA model used and the estimation, forecasting, and printing of this model. There are two ways of obtaining an ARIMA model to extend the series. A model can ...
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Modern Time Series Forecasting with Python : Industry-Ready Machine Learning and Deep Learning Time Series Analysis with PyTorch and pandas
This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models. Whether you’re working with traditional statistical methods or cutting-edge deep learning ...