Robust Fusion Methods for Big Data
Statistics Theory
2017-06-12 v2 Statistics Theory
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.
Keywords
Cite
@article{arxiv.1705.10157,
title = {Robust Fusion Methods for Big Data},
author = {Catherine Aaron and Alejandro Cholaquidis and Ricardo Fraiman and Badih Ghattas},
journal= {arXiv preprint arXiv:1705.10157},
year = {2017}
}