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Volumn 91, Issue 435, 1996, Pages 1101-1109

Bayesian inference of survival probabilities, under stochastic ordering constraints

Author keywords

Hazard rate; Markov chain Monte Carlo integration; Predictive distribution

Indexed keywords


EID: 0030327840     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.1996.10476980     Document Type: Article
Times cited : (22)

References (14)
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  • 3
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  • 4
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    • Maximum Likelihood Estimation of the Survival Functions of Stochastically Ordered Random Variables
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  • 5
    • 0039465043 scopus 로고
    • Nonparametric Estimation of Partially Stochastically Ordered Distributions and the Dual Problem
    • Dykstra, R. L., and Felz, C. J. (1989), “Nonparametric Estimation of Partially Stochastically Ordered Distributions and the Dual Problem,” Biometrika, 76, 331-341.
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    • Dykstra, R.L.1    Felz, C.J.2
  • 6
    • 0000923533 scopus 로고
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  • 7
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    • Felz, C. J., and Dykstra, R. L. (1985), “Maximum Likelihood Estimation of the Survival Functions of N Stochastically Ordered Random Variables," Journal of the American Statistical Association, 80, 1012-1019.
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    • Felz, C.J.1    Dykstra, R.L.2
  • 9
    • 84950453504 scopus 로고
    • Bayesian Analysis of Constrained Parameter and Truncated Data Problems Using the Gibbs Sampler
    • Gelfand, A. E., Smith, A. F. M., and Lee, T.-M. (1992), “Bayesian Analysis of Constrained Parameter and Truncated Data Problems Using the Gibbs Sampler,” Journal of the American Statistical Association, 87, 523-532.
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  • 12
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    • Simple Conditions for the Convergence of the Gibbs Sampler and Metropolis-Hastings Algorithms
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  • 13
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  • 14
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    • Markov Chains for Exploring Posterior Distributions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.