I have univariate temporal data set, with missing data up to 15% over a year. Are time series analysis models can be used to impute these missing data ?
What I would like to know is: are time series forecasting models (AR, ARMA, ...) can be also used for the imputation of missing data. I suppose that initially, the model was built from the complete data.