Bayesian multiple change-points estimation for hazard with censored survival data from exponential distributions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jaehee | - |
dc.contributor.author | Cheon, Sooyoung | - |
dc.contributor.author | Jin, Zhezhen | - |
dc.date.accessioned | 2021-08-31T09:32:08Z | - |
dc.date.available | 2021-08-31T09:32:08Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-03 | - |
dc.identifier.issn | 1226-3192 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/57577 | - |
dc.description.abstract | Change-point models are generative models in which the underlying generative parameters change at different points in time. A Bayesian approach to the problem of hazard change with unknown multiple change-points is developed using informative priors for censored survival data. For the exponential distribution, piecewise constant hazard is considered with change-point estimation. The stochastic approximation Monte Carlo algorithm is implemented for efficient calculation of the posterior distributions. The performance of the proposed estimator is checked via simulation. As a real data application, Leukemia data are analyzed by the proposed method and compared with other previous non-Bayesian method. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER HEIDELBERG | - |
dc.subject | CONSTANT HAZARD | - |
dc.subject | MODELS | - |
dc.title | Bayesian multiple change-points estimation for hazard with censored survival data from exponential distributions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cheon, Sooyoung | - |
dc.identifier.doi | 10.1007/s42952-019-00016-w | - |
dc.identifier.scopusid | 2-s2.0-85079741348 | - |
dc.identifier.wosid | 000522479900002 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.49, no.1, pp.15 - 31 | - |
dc.relation.isPartOf | JOURNAL OF THE KOREAN STATISTICAL SOCIETY | - |
dc.citation.title | JOURNAL OF THE KOREAN STATISTICAL SOCIETY | - |
dc.citation.volume | 49 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 15 | - |
dc.citation.endPage | 31 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002575612 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | CONSTANT HAZARD | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | BIC | - |
dc.subject.keywordAuthor | Exponential distribution | - |
dc.subject.keywordAuthor | Hazard&apos | - |
dc.subject.keywordAuthor | s multiple change-points | - |
dc.subject.keywordAuthor | Stochastic approximation Monte Carlo (SAMC) | - |
dc.subject.keywordAuthor | Truncated Poisson | - |
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