期刊论文详细信息
| Bayesian Analysis | |
| Testing Un-Separated Hypotheses by Estimating a Distance | |
| Jean-Bernard Salomond1  | |
| 关键词: hypothesis testing; Bayesian inference; asymptotic properties of tests; nonparametric inference; goodness-of-fit; monotonicity; | |
| DOI : 10.1214/17-BA1059 | |
| 学科分类:统计和概率 | |
| 来源: Institute of Mathematical Statistics | |
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【 摘 要 】
In this paper we propose a Bayesian answer to testing problems when the hypotheses are not well separated. The idea of the method is to study the posterior distribution of a discrepancy measure between the parameter and the model we want to test for. This
【 授权许可】
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【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201909027506707ZK.pdf | 399KB |
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