User:Samohyl Jan/Bayesian filtering
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This article is about statistical method. For application of Bayesian methods in classification of text or spam, see Bayesian spam filtering.
Bayesian filtering, is a generic name of statistical methods for obtaining hidden state of dynamical system from its observables and history using bayesian inference. It is a generalization of well known hidden Markov models and Kalman filters.
Contents |
[edit] Basic idea
One is given:
[edit] See also
[edit] External links
A survey of probabilistic models, using the Bayesian Programming methodology as a unifying framework
[edit] TODO!!!
- Move Bayesian filtering to Bayesian spam filtering
- fix intro
- mention naive Bayes classifier
- Describe the model
- Note that we don't require dynamical system to be deterministic
- fix link to Bayesian filtering at Project Cybersyn and check other places
