摘要 : When dealing with Bayesian inference the choice of the prior often remains a debatable question. Empirical Bayes methods offer a data-driven solution to this problem by estimating the prior itself from an ensemble of data. In the ... 展开
作者 | Klebanov~ Ilja Sikorski~ Alexander Schuette~ Christof Roblitz~ Susanna |
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作者单位 | |
期刊名称 | 《Scandinavian journal of statistics》 |
页码/总页数 | 1212-1233 / 22 |
语种/中图分类号 | 英语 / TP3 |
关键词 | nonparametric inference information invariance Jeffreys prior maximum penalized likelihood estimator reference prior |
DOI | 10.1111/sjos.12485 |
馆藏号 | C-077 |