Abstract:
Static forecasting of stationary and ergodic time series is considered, i.e., inference of the conditional expectation of the response variable at time zero given the inf...Show MoreMetadata
Abstract:
Static forecasting of stationary and ergodic time series is considered, i.e., inference of the conditional expectation of the response variable at time zero given the infinite past. It is shown that the mean squared error of a combination of suitably defined localized least squares estimates converges to zero for all distributions where the response variable is square integrable.
Published in: IEEE Transactions on Information Theory ( Volume: 58, Issue: 2, February 2012)