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| 001 | 9.966878 |
| 003 | CaOODSP |
| 005 | 20261016143252 |
| 006 | m o d f |
| 007 | cr |n||||||||| |
| 008 | 261016e20250908oncd ob f|0| 0 eng d |
| 040 | |aCaOODSP|beng|erda|cCaOODSP |
| 043 | |an-cn--- |
| 086 | 1 |aCS11-522/2024-1-25E-PDF |
| 100 | 1 |aDagdoug, Mehdi, |eauthor. |
| 245 | 10|aStatistical inference for a finite population mean with machine learning-based imputation for missing survey data / |cby Mehdi Dagdoug and David Haziza. |
| 246 | 1 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics |
| 264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025. |
| 300 | |a1 online resource (15 unnumbered pages) : |bcharts. |
| 336 | |atext|btxt|2rdacontent |
| 337 | |acomputer|bc|2rdamedia |
| 338 | |aonline resource|bcr|2rdacarrier |
| 490 | 1 |a[Statistics Canada international symposium series : proceedings], |x1709-8211 |
| 500 | |aIssued also in French under title: Inférence statistique pour une moyenne de population finie avec imputation fondée sur l’apprentissage automatique pour données d’enquête manquantes. |
| 500 | |aTitle from cover. |
| 504 | |aIncludes bibliographical references (pages [14-15]). |
| 520 | |a"National statistical offices have increasingly adopted machine learning (ML) for its potential to improve survey estimates. ML techniques offer significant advantages, notably the ability to manage high-dimensional data and to capture complex, nonlinear relationships, thereby enhancing the overall quality of survey statistics. In this article, following the approach of Chernozhukov et al. (2018), we describe a double debiased machine learning framework that enables valid statistical inference when imputed estimators are derived from ML procedures. Simulation results suggest that the proposed framework performs well in a wide range of scenarios"--Abstract. |
| 650 | 0|aMachine learning. |
| 650 | 0|aMathematical statistics|zCanada. |
| 655 | 7|aStatistics|2lcgft |
| 710 | 2 |aStatistics Canada, |eissuing body. |
| 775 | 08|tInférence statistique pour une moyenne de population finie avec imputation fondée sur l’apprentissage automatique pour données d’enquête manquantes / |w(CaOODSP)9.966880 |
| 830 | #0|aStatistics Canada international symposium series - proceedings,|x1709-8211.|w(CaOODSP)9.505681 |
| 856 | 40|qPDF|s527 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-25-eng.pdf |
| 986 | |a11-522-X |