期刊论文详细信息
Bayesian Analysis | |
Bayesian Estimation of the Discrepancy with Misspecified Parametric Models | |
Pierpaolo De Blasi1  | |
关键词: Asymptotics; Bayesian nonparametrics; Semi–parametric density model; Gaussian process; Kullback–Leibler divergence; Posterior consistency; | |
DOI : 10.1214/13-BA024 | |
学科分类:统计和概率 | |
来源: Institute of Mathematical Statistics | |
【 摘 要 】
We study a Bayesian model where we have made specific requests about the parameter values to be estimated. The aim is to find the parameter of a parametric family which minimizes a distance to the data generating density and then to estimate the discrepan
【 授权许可】
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【 预 览 】
Files | Size | Format | View |
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RO201909025806451ZK.pdf | 342KB | download |