Testing Model Specification in Approximate Bayesian Computation Using Asymptotic Properties

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-06-11 DOI:10.1080/10618600.2024.2357630

Andrés Ramírez-Hassan, David T. Frazier

引用次数: 0

Abstract

We present a novel procedure to diagnose model misspecification in situations where inference is performed using approximate Bayesian computation (ABC). Unlike previous procedures, our proposal is ...

查看原文本刊更多论文

利用渐近特性检验近似贝叶斯计算中的模型规范

我们提出了一种新的程序，用于在使用近似贝叶斯计算（ABC）进行推理的情况下诊断模型错误。与以往的程序不同，我们的建议是...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.