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The problem of estimating the state of a stationary Gauss-Markov sequence observed in uncorrelated Gaussian noise of constant, but unknown, covariance R is considered. An inverted Wishart prior is assigned to the prior innovations covariance M, which is unknown by virtue of the uncertainty in R. The resulting nonlinear state estimator involves a canonical integral which can be approximated to yield...
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