Machine Learning from the Perspective of Official Statistic

Marco Puts (Corresponding author), Piet Daas (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

180 Downloads (Pure)

Abstract

Artificial Intelligence methods enable the extraction of information from large amounts of data. Machine learning is a sub field of Artificial Intelligence. In this paper, Artificial Intelligence and Machine Learning are introduced and discussed in the context of applying them to produce official statistics. The five quality dimensions of statistical output are used to identify the challenges for their application. The paper ends with a list of the most important research topics that need to be studied to enable the successful application of those methods for official statistics
Original languageEnglish
Pages (from-to)12-17
JournalThe Survey Statistician
Volume84
Publication statusPublished - 15 Jul 2021

Fingerprint

Dive into the research topics of 'Machine Learning from the Perspective of Official Statistic'. Together they form a unique fingerprint.

Cite this