| dc.contributor | 統計系 | en_US |
| dc.creator (作者) | 黃子銘 | zh_TW |
| dc.creator (作者) | Huang, Tzee-Ming | en_US |
| dc.date (日期) | 2004-08 | en_US |
| dc.date.accessioned | 23-十二月-2014 15:08:12 (UTC+8) | - |
| dc.date.available | 23-十二月-2014 15:08:12 (UTC+8) | - |
| dc.date.issued (上傳時間) | 23-十二月-2014 15:08:12 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/72213 | - |
| dc.description.abstract (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. | en_US |
| dc.format.extent | 280323 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Annals of Statistics,32(4),1556-1593 | en_US |
| dc.title (題名) | Convergence rates for posterior distributions and adaptive estimation | en_US |
| dc.type (資料類型) | article | en |
