© 1994 by Biometrika Trust
MISCELLANEA |
Bayesian Kalman filtering with elliptically contoured errors
Departamento de Estadistica, Universidad de Málaga 29071-Málaga, Spain
The basic recursive equations of the Kalman filter, for independent normally distributed error sources in both the observation and the system equations, are shown to hold for a larger class of distributions. It is shown that, for error sources following jointly a general elliptical distribution, the conditional posterior distribution of the parameters and the one-step ahead predictive distribution at every stage t are also elliptical. This generalizes some recent results of Meinhold & Singpurwalla for error sources distributed as multivariate Student t and some older results of Zellner for the linear regression model.
Key Words: Elliptical distribution Kalman filter Posterior distribution Predictive distribution Scale mixture Weak robustness