Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/72213
題名: | Convergence rates for posterior distributions and adaptive estimation | 作者: | 黃子銘 Huang, Tzee-Ming |
貢獻者: | 統計系 | 日期: | Aug-2004 | 上傳時間: | 23-Dec-2014 | 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 | 資料類型: | article |
Appears in Collections: | 期刊論文 |
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File | Description | Size | Format | |
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1556-1593.pdf | 273.75 kB | Adobe PDF2 | View/Open |
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