测量误差建模研究进展

IF 7.4 1区数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Annual Review of Statistics and Its Application Pub Date : 2023-10-13 DOI:10.1146/annurev-statistics-040722-043616

Mushan Li, Yanyuan Ma

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引用次数: 0

摘要

测量误差引起的问题已经被认识了近90年，自20世纪80年代以来，这一领域的研究开始蓬勃发展。我们回顾了一些经典的密度估计和回归问题的测量误差的方法。在这两个问题中，我们结合不同的误差类型，考虑了原始无误差模型是参数、非参数和半参数的情况。我们还总结和解释了一些新的方法，包括高维环境中的最新发展和挑战。预计《统计年鉴及其应用》第11卷的最终在线出版日期为2024年3月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

An Update on Measurement Error Modeling

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An Update on Measurement Error Modeling

The issues caused by measurement errors have been recognized for almost 90 years, and research in this area has flourished since the 1980s. We review some of the classical methods in both density estimation and regression problems with measurement errors. In both problems, we consider when the original error-free model is parametric, nonparametric, and semiparametric, in combination with different error types. We also summarize and explain some new approaches, including recent developments and challenges in the high-dimensional setting.Expected final online publication date for the Annual Review of Statistics and Its Application, Volume 11 is March 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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来源期刊

Annual Review of Statistics and Its Application MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

13.40

自引率

1.30%

发文量

期刊介绍： The Annual Review of Statistics and Its Application publishes comprehensive review articles focusing on methodological advancements in statistics and the utilization of computational tools facilitating these advancements. It is abstracted and indexed in Scopus, Science Citation Index Expanded, and Inspec.