Recursive Bayesian estimation: Difference between revisions

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The true state <math>x</math> is assumed to be an unobserved [[Markov process]], and the measurements <math>z</math> are the observed states of a [[Hidden Markov Model]] (HMM).
 
:[[Image:HMMKalmanFilterDerivationHMM_Kalman_Filter_Derivation.pngsvg|463-239center|Hidden Markov Model]]
 
Because of the Markov assumption, the probability of the current true state given the immediately previous one is conditionally independent of the other earlier states.