基于 ℓ1 的多维政治贝叶斯理想点模型

IF 3 1区数学 Q1 STATISTICS & PROBABILITY

Journal of the American Statistical Association Pub Date : 2024-11-06 DOI:10.1080/01621459.2024.2425461

Sooahn Shin, Johan Lim, Jong Hee Park

引用次数: 0

摘要

社会科学中的理想点估算方法缺乏确定多维理想点的原则性方法。我们提出了一种估算多维理想点的新方法...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ℓ1 -based Bayesian Ideal Point Model for Multidimensional Politics

Ideal point estimation methods in the social sciences lack a principled approach for identifying multidimensional ideal points. We present a novel method for estimating multidimensional ideal point...

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来源期刊

Journal of the American Statistical Association 数学-统计学与概率论

CiteScore

7.50

自引率

8.10%

发文量

168

审稿时长

12 months

期刊介绍： Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA . JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.