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https://ah.lib.nccu.edu.tw/handle/140.119/18685
題名: | Filtered-variate prior distributions for histograms smoothing | 作者: | Jiang, Thomas J. 姜志銘 Dickey, James M. |
貢獻者: | 應數系 | 關鍵詞: | Bayesian smoothing ; \r\nCarlson function ; \r\nGeneralized Dirichlet distribution ; \r\nGeneralized hypergeometric function ; \r\nMultinomial distribution ; \r\nMultinomial estimation | 日期: | Jun-1998 | 上傳時間: | 24-Dec-2008 | 摘要: | We develop prior distributions for histogram inference favoring smooth population frequencies; that is, probability vectors with small differences for neighboring categories. We give a theory of prior-random probability vectors representable as a linear transform, or “filter,” of a standard random probability vector, or equivalently, a random weighted average of nonrandom smooth probability vectors. Promising methods of prior assessment are given based on elicitation of a list of typically smooth probability vectors, the empirical moments of which can then be matched by the mean vector and variance matrix of a constructed continuous-type filtered-variate prior distribution. | 關聯: | Journal of the American Statistical Association,93,651-662 | 資料類型: | article | DOI: | http://dx.doi.org/10.1080/01621459.1998.10473718 |
Appears in Collections: | 期刊論文 |
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File | Description | Size | Format | |
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01621459.1998.pdf | 1.4 MB | Adobe PDF2 | View/Open |
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