Department of Mathematics , University of waikato , Hamilton, New zealand
Abstract:
The dynamic generalized linear model and the dynamic discount Bayesian model have been used to describe processes involving time-varying parameters. This paper develops an estimation algorithm for the multiprocess extension of these model. These algorithms have the same characteristics as Harrison-Steven forecasting, namely insensitivity to outliers and quick reaction to real change in the parameters.