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bayesian filtering

,bayesian filtering,Bayesian filter,Bayesian filters

bayesian filtering
Publications: 692| Citation Count: 6,956
Stemming Variations: Bayesian filter, Bayesian filters
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    • Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filters (extended and unscented) and particle filters. Key components of each Bayes filter are probabilistic prediction and observation models. Recently, Gaussian processes have been introduced as a non-parametric technique for learning such models from training data. In the context of unscented Kalman filters, these models have been shown to provide estimates that can be superior to those achieved with standard, parametric models...

    Jonathan Ko, et al. GP-BayesFilters: Bayesian filtering using Gaussian process prediction ...

    • Bayesian filtering is a general framework for recursively estimating the state of a dynamical system...

    Chong Han, et al. Gaussian Process Techniques for Wireless Communications

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