V-invariant methods, generalised least squares problems, and the Kalman filter
Osborne, Michael; Soderkvist, Inge
An important consideration in solving generalised least squares problems is the dimension of the covariance matrix V. This has the dimension of the data set and is large when the data set is large. In addition the problem can be formulated to have a well
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