We analyse the performance of a recursive Monte Carlo method for the Bayesian estimation of the static parameters of a discrete-time state-space Markov model. The algorithm employs two layers of ...
State estimation and filtering techniques form the backbone of modern control, signal processing and data fusion methodologies. These techniques are employed to infer the internal states of a dynamic ...
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