W. NIEMIRO (Warszawa) ESTIMATION OF NUISANCE PARAMETERS FOR INFERENCE BASED ON LEAST ABSOLUTE DEVIATIONS
نویسنده
چکیده
Statistical inference procedures based on least absolute deviations involve estimates of a matrix which plays the role of a multivariate nuisance parameter. To estimate this matrix, we use kernel smoothing. We show consistency and obtain bounds on the rate of convergence.
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