I'd like to have an online horizon=k forecast with Arima, something like:
library(forecast)
air.model = Arima(AirPassengers[0:100], c(1,0,1),
seasonal=list(order=c(0,1,1), period=12))
for(i in 0:(length(AirPassengers)-100)) {
air.model2 = Arima(AirPassengers[0:(100+i)], model=air.model)
> Matteo Bertini schrieb:
>>
>> Hello everyone,
>>
>> I'm doing some benchmark comparing Arima [1] and SVR on time series data.
>>
>> I'm using an out-of-sample one-step-ahead prediction from Arima using
>> the "fitted" method
Hello everyone,
I'm doing some benchmark comparing Arima [1] and SVR on time series data.
I'm using an out-of-sample one-step-ahead prediction from Arima using
the "fitted" method [2].
Do someone know how to have a two-steps-ahead forecast timeseries from Arima?
Thanks
I'd like to fit a SARIMA model on a timeseries but the period I'd like to
use is too big (7 day in 15min samples = 672) for the algorithm used in R.
Some suggested alternatives?
Thanks,
Matteo Bertini
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Using the gretl.sf.net dialect:
Static forecasts are one step ahead, based on realized values from the previous
period, while dynamic forecasts employ the chain rule of forecasting.
What kind of forecast is doing forecast.Arima?
Thanks,
Matteo Bertini
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