Foundations and Advances of Machine Learning in Official Statistics
暫譯: 官方統計中的機器學習基礎與進展
Dumpert, Florian
- 出版商: Springer
- 出版日期: 2025-12-12
- 售價: $2,600
- 貴賓價: 9.5 折 $2,470
- 語言: 英文
- 頁數: 373
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032100038
- ISBN-13: 9783032100030
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相關分類:
Machine Learning
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相關主題
商品描述
This Open access book gives an overview of current research and developments on the incorporation of machine learning in official statistics. It covers methodological questions, practical aspects and cross-cutting issues.
Machine learning has become an integral part of official statistics over the last decade. This is evident in its many applications in numerous countries and organisations. At the same time, the integration of machine learning into statistical production raises questions about the right mathematical and statistical methodology, the consideration of quality standards and the appropriate IT support. In its four sections, "Methodological aspects", "Legal, ethical, and quality aspects", "Technological aspects" and "Use cases and insights", the book highlights current developments, provides inspiration, outlines challenges and offers possible solutions. It is aimed at methodologists in statistical offices and comparable institutions as well as scientists who are concerned with the further development and responsible use of machine learning
商品描述(中文翻譯)
這本開放存取的書籍概述了機器學習在官方統計中應用的最新研究與發展。內容涵蓋了方法論問題、實務面向及跨領域議題。
在過去十年中，機器學習已成為官方統計的不可或缺的一部分。這在許多國家和組織的多種應用中表現得淋漓盡致。與此同時，將機器學習整合進統計生產中也引發了關於正確的數學和統計方法、質量標準的考量以及適當的資訊技術支持等問題。書中分為四個部分：「方法論面向」、「法律、倫理與質量面向」、「技術面向」以及「使用案例與見解」，突顯了當前的發展，提供靈感，概述挑戰並提出可能的解決方案。此書的目標讀者為統計機構及類似機構的研究方法學家，以及關注機器學習進一步發展與負責任使用的科學家。
作者簡介
Florian Dumpert heads a division at the Federal Statistical Office of Germany that develops methodological and technological solutions and architectures for statistics production. The focus of his work is on the quality-assured integration and use of machine learning for the purpose of digitalisation, standardisation and automation of official statistics. His research interests include statistical machine learning, statistical data processing and imputation. He regularly participates in national and international projects on these topics and represents the disciplines in relevant working groups and committees.
作者簡介(中文翻譯)
Florian Dumpert 目前負責德國聯邦統計局的一個部門，該部門專注於開發統計生產的方法論和技術解決方案及架構。他的工作重點在於質量保證的整合和使用機器學習，以實現官方統計的數位化、標準化和自動化。他的研究興趣包括統計機器學習、統計數據處理和插補。他定期參與這些主題的國內和國際項目，並在相關的工作組和委員會中代表這些學科。
