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UNECE – HLG-MOS Machine Learning Project

Edit and Imputation Theme Report

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Author: Florian Dumpert (Germany)*


** Visit WP1 Pilot Study Wiki Page for reports of the pilot studies conducted under Edit and Imputation Theme







* based on sound pilot study reports and fruitful discussions, and with a lot of help from Fabiana Rocci and Roberta Varriale (Italy), Bart Buelens and Anneleen Goyens (Belgium), Romina Filippini, Diego Zardetto, Marco Di Zio, Simona Toti, and Fabrizio De Fausti (Italy), Sebastian Wójcik (Poland), Claus Sthamer (United Kingdom), Christian Ruiz (Switzerland), and Philip Bell, Sean Buttsworth, and Jenny Pocknee (Australia).

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. If you re-use all or part of this work, please attribute it to the United Nations Economic Commission for Europe (UNECE), on behalf of the international statistical community.

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