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3 votes
1 answer
152 views

In sliding window regression, what is the best way to select my training window and test set size?

I am trying to forecast an index option's implied volatility using a sliding window regression and I'm a little confused on how I can go about cross validating with respect to the training and test ...
sixth-sense-81's user avatar
0 votes
2 answers
812 views

Exact steps for rolling window CV evaluation or sliding window CV evaluation for SARIMA

So far I have using this process: 1)split data into training and test 2)do model selection(p,d,q, P,D,Q,etc) using training data(in this case, I used autoarima) ...
a12345's user avatar
  • 95
1 vote
2 answers
944 views

Cross Validation for Time Series Classification (Not Forecasting!)

Is it possible to use regular k-fold cross validation where the folds contain entire time series in time series classification? I'm asking because most sources discussing cross validation with time ...
perceptronEnthusiast420's user avatar
1 vote
0 answers
115 views

Average time series forecast errors from cross-validation with rolling origin

I'm calculating the MAPE and RMSE over a rolling origin cross-validation with fixed forecast interval for several models. For example, for a daily series with 3 years, I'm training my model with 2 ...
Ivan's user avatar
  • 141
9 votes
1 answer
15k views

How to decide moving window size for time series prediction?

I have a model to predict +1 day ahead of this time series. Looking at the chart you can notice some seasonality every 5 days. I suspect using a moving window as training set could help me making a ...
elemolotiv's user avatar
  • 1,250