Why Is Really Worth Basic Time Series Models ARIMA ARMA
At each time step t the model compute a state value \(h_t\) that combines (in linear combination) the previous state \(h_{t-1}\) (which contains all the memory available at time t-1 ) and the current input \(x_t\) (which is the current value of the time series), passing then the result to