Stochastic Gradient Algorithms for AR Models with Missing Data
Feng Ding · Science Technology and Engineering · 2008
By using the polynomial transform technique, the auto-regression model with missing observation data is transformed into a special model which can be identified from scarece observation data, and the missing data are estimated by the model equivalence principle and a residual based stochastic gradient algorithm. A simulation example is included.