  We have observed a common problem of solving for the marginal covariance of
parameters introduced in new observations. This problem arises in several
situations, including augmenting parameters to a Kalman filter, and computing
weight for relative pose constraints. To handle this problem, we derive a
solution in a least squares sense. The solution is applied to the above two
instance situations and verified by independently reported results.
