00000cam 2200000zi 4500 9.966895 CaOODSP 20261019102501 m o d f cr |n||||||||| 261019e202509##onc o f|0| 0 eng d CaOODSP eng rda CaOODSP n-cn--- CS11-522/2024-1-27E-PDF Kay, Francesca, author. One-stop-shop for artificial intelligence and machine learning for official statistics / by Francesca Kay. At head of title: Proceedings of Statistics Canada Symposium 2024 : the future of official statistics [Ottawa] : Statistics Canada = Statistique Canada, September 8, 2025. 1 online resource (8 unnumbered pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Issued also in French under title: Boutique multiservice d’intelligence artificielle et d’apprentissage automatique pour les statistiques officielles. "Several challenges encountered when constructing U.S. administrative record-based (AR-based) population estimates for 2020 are identified. They include locational accuracy, person coverage and its consistency over time, filtering out non-residents and people not alive on the reference date, uncovering missing links across person and address records, and predicting demographic characteristics. Several ways to address these issues are discussed. Regression results illustrate how the challenges and solutions affect the AR-based county population estimates"--Abstract, page [2]. Artificial intelligence. Machine learning. Population Statistics. Statistics lcgft Statistics Canada, issuing body. Boutique multiservice d’intelligence artificielle et d’apprentissage automatique pour les statistiques officielles / (CaOODSP)9.966898 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 523 KB https://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-27-eng.pdf 11-522-X