PREDICTION OF MISSING OBSERVATIONS BY A CONTROL METHOD
Consider a time series with missing observations but a known final point. Using control theory ideas we estimate/predict these missing observations. We obtain recurrence equations which minimize sum of squares of a control sequence. An advantage of this method is in easily computable formulae and flexibility of its application to different structures of missing data.
missing observations, autoregressive models, control method, prediction.
