Error Formulae for Optimal Linear Filtering, Prediction and Interpolation of Stationary Time Series
Jakov Snyders · The Annals of Mathematical Statistics · 1972
Several explicit expressions are presented for the minimum mean square error in linear causal filtering, prediction and interpolation of weakly stationary discrete-time processes corrupted by additive noise. A general procedure for deriving error expressions of this kind is established.