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https://ah.lib.nccu.edu.tw/handle/140.119/120185
題名: | Filtered-variate prior distributions for histogram smoothing. | 作者: | Dickey, James M. 姜志銘 Jiang, Thomas J. |
貢獻者: | 應數系 | 關鍵詞: | Bayesian smoothing; Carlson function; Generalized Dirichlet distribution; Generalized hypergeometric function; Multinomial distribution; Multinomial estimation. | 日期: | 1998 | 上傳時間: | 27-Sep-2018 | 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, 93:442, 651-662 | 資料類型: | article | DOI: | https://doi.org/10.1080/01621459.1998.10473718 |
Appears in Collections: | 期刊論文 |
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