Standard errors for smoothed rank methods
(B Brown and Y Wang)
A natural Bayesian smoothing is applied to the generic objective function for rank methods.
The asymptotic behaviour of the rank estimates is unchanged, but their smoothness enables standard errors and covariance matrices to be estimated by the usual sandwich formula of M-estimation.
A remarkable feature is the very rapid iterative convergence of the equation for standard error and covariance matrix estimation.