Title :
On resolution and exponential discrimination between Gaussian stationary vector processes and dynamic models
Author_Institution :
University of Massachusetts, Amherst, Mass.
Abstract :
We derive new necessary and sufficient conditions for exponentially convergent discrimination between two stationary vector Gaussian processes, and relate them to previously studied conditions for parameter identifiability and consistent discrimination.
Keywords :
Bayesian methods; Gaussian processes; Sufficient conditions; TV;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270153
