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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for differencing, which is useful for removing trends and handling some types of non-stationarity.

2 votes
0 answers
984 views

ARMAX with lagged exogenous variables

I have difficulties finding the implementation of ARIMAX, ARMAX model where the exogenous variable would be also included with the time lags: $X_{t}=\varepsilon_{t}+\sum_{i=1}^{p} \varphi_{i} X_{t-i}+ …
Sanja's user avatar
  • 61
1 vote
Accepted

Recursive ARIMA

implement this through Kalman filter, with the help from GitHub: SARIMAX: incremental Kalman filter (question) Basically, with initial parameters and covariance of the initial model: mod_test = ARIMA
Sanja's user avatar
  • 61
3 votes
1 answer
427 views

Recursive ARIMA

I am trying to implement recursive ARIMA that would just update the parameters with new data point, rather than re-estimate them from scratch, without taking into account the previous model. …
Sanja's user avatar
  • 61