Abstract
The Kalman recursion for state space models is extended to allow for likelihood evaluation and minimum mean square estimation given states with an arbitrarily large covariance matrix. The extension is computation- ally minor. Application is made to likelihood evaluation, state estimation, prediction and smoothing.
Cite
CITATION STYLE
APA
Jong, P. D. (2007). The Diffuse Kalman Filter. The Annals of Statistics, 19(2). https://doi.org/10.1214/aos/1176348139
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free