Robust Fusion Methods for Big Data

Abstract

We address one of the important problems in Big Data, namely how to combine estimators from different subsamples by robust fusion procedures, when we are unable to deal with the whole sample.

References in corpus (1)

• The spatial distribution in infinite dimensional spaces and related quantiles and depths