
19 Aug
2015
19 Aug
'15
8:49 a.m.
On Wed, 19 Aug 2015, Dominic Steinitz wrote:
How general are the models that it can fit? For example, a Kalman filter is an example of a hidden Markov model in which the updates are linear and the errors are Gaussian.
My package is limited to a finite set of states. I don't think you can use it for Kalman filtering and so far I do not know, whether I can generalize it that way. Unfortunately, I have no experience with Kalman filters.