國家衛生研究院 NHRI:Item 3990099045/1766
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    题名: Bayesian survival analysis using Bernstein polynomials
    作者: Chang, IS;Hsiung, CA;Wu, YJ;Yang, CC
    贡献者: Division of Biostatistics and Bioinformatics;National Institute of Cancer Research
    摘要: Bayesian survival analysis of right-censored survival data is studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors easily take into consideration geometric information like convexity or initial guess on the cumulative hazard functions, select only smooth functions, can have large enough support, and can be easily specified and generated. Certain frequentist asymptotic properties of the posterior distribution are established. Simulation studies indicate that these Bayes methods are quite satisfactory.
    关键词: Statistics & Probability
    日期: 2005-09
    關聯: Scandinavian Journal of Statistics. 2005 Sep;32(3):447-466.
    Link to: http://dx.doi.org/10.1111/j.1467-9469.2005.00451.x
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0303-6898&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000231145600006
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=24344484769
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