Reference priors for discrete graphical models

• 成果类型: Article
• 署名作者: Consonni, G; Leucari, V
• 署名单位: University of Pavia
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/93.1.23
• 发表日期: 2006
• 页码: 2340
• 关键词: exponential-families; collapsibility

摘要

The combination of graphical models and reference analysis represents a powerful tool for Bayesian inference in highly multivariate settings. It is typically difficult to derive reference priors in complex problems. In this paper we present a suitable mixed parameterisation for a discrete decomposable graphical model and derive the corresponding reference prior.