t is important to note that a fundamental flaw of the EKF is that the distributions (or densities in the continuous case) of the various
random variables are no longer normal after undergoing their respective nonlinear transformations. The EKF is simply an ad hoc state
estimator that only approximates the optimality of Bayes' rule by linearization.