期刊论文详细信息
Bayesian Analysis | |
Finite Sample Bernstein – von Mises Theorem for Semiparametric Problems | |
Maxim Panov1  | |
关键词: prior; posterior; Bayesian inference; semiparametric; critical dimension; | |
DOI : 10.1214/14-BA926 | |
学科分类:统计和概率 | |
来源: Institute of Mathematical Statistics | |
【 摘 要 】
The classical parametric and semiparametric Bernstein – von Mises (BvM) results are reconsidered in a non-classical setup allowing finite samples and model misspecification. In the case of a finite dimensional nuisance parameter we obtain an upper bound o
【 授权许可】
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Files | Size | Format | View |
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RO201909027786276ZK.pdf | 483KB | download |