AdvancedMultiple choice
In what sense is the Kalman filter optimal?
- AIt is the minimum mean squared error estimator under linear Gaussian dynamics, and the best linear one otherwise
- BIt is optimal for any dynamics, linear or not
- CIt is optimal only when the noise variances are known exactly
- DIt minimises the maximum error rather than the mean squared error
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