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    题名: Convergence rates for posterior distributions and adaptive estimation
    作者: 黃子銘
    Huang, Tzee-Ming
    贡献者: 統計系
    日期: 2004-08
    上传时间: 2014-12-23 15:08:12 (UTC+8)
    摘要: The goal of this paper is to provide theorems on convergence rates of posterior distributions that can be applied to obtain good convergence rates in the context of density estimation as well as regression. We show how to choose priors so that the posterior distributions converge at the optimal rate without prior knowledge of the degree of smoothness of the density function or the regression function to be estimated.
    關聯: Annals of Statistics,32(4),1556-1593
    数据类型: article
    显示于类别:[統計學系] 期刊論文

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