Empirical bayes approach to parameter identification in linear stochastic difference equations
HELGA BUNKE, J. Gladitz · Series Statistics · 1979
Empirical Bayesian parameter estimators and predictors for linear stochastic difference equations are constructed and discussed. Some properties as consistency and asymptotic optimality are investigated. The given methods are illustrated by the example of a univariate first order autoregressive process.