Updating least squares who is ian mckellen dating
The estimator is easy to calculate and applies to a wide range of sampling schemes and tail dependence models.
updating procedure as a solution approach for linear least squares problem with equality constraints.
The mainstay in our presented algorithm for the solution of LSE problem is the updating procedure.
Therefore, our main concern is to study the error analysis of the updating steps.
Moreover, they can be hard to compute in higher dimensions.
An adaptive weighted least-squares procedure matching nonparametric estimates of the stable tail dependence function with the corresponding values of a parametrically specified proposal yields a novel minimum-distance estimator.
We reduce the constrained problem to unconstrained linear least squares and partition it into a small subproblem. We carry out the error analysis of the proposed algorithm to show that it is backward stable.