頁籤選單縮合
題 名 | Nonparametric Priors for Vectors of Survival Functions |
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作 者 | Epifani, Ilenia; Lijoi, Antonio; | 書刊名 | Statistica Sinica |
卷 期 | 20:4 2010.10[民99.10] |
頁 次 | 頁1455-1484 |
分類號 | 319.5 |
關鍵詞 | Bayesian nonparametrics; Completely random measures; Dependent stable processes; Lévy copulas; Posterior distribution; Right-censored data; Survival function; |
語 文 | 英文(English) |
英文摘要 | Abstract: The paper proposes a new nonparametric prior for two-dimensional vectors of survival functions . The definition is based on the Lévy copula and it is used to model, in a nonparametric Bayesian framework, two-sample survival data. Such an application yields a natural extension of the more familiar neutral to the right process of Doksum (1974) adopted for drawing inferences on single survival functions. We then obtain a description of the posterior distribution of , conditionally on possibly right-censored data. As a by-product, we find that the marginal distribution of a pair of observations from the two samples coincides with the Marshall-Olkin or the Weibull distribution according to specific choices of the marginal Lévy measures. |
本系統中英文摘要資訊取自各篇刊載內容。