Estimation error for blind Gaussian time series prediction
classification
📊 stat.ME
math.STstat.TH
keywords
blindestimationgaussianoperatorpredictionseriestimebuild
read the original abstract
We tackle the issue of the blind prediction of a Gaussian time series. For this, we construct a projection operator build by plugging an empirical covariance estimation into a Schur complement decomposition of the projector. This operator is then used to compute the predictor. Rates of convergence of the estimates are given.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.