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Volumn 27, Issue 1, 2000, Pages 111-127

Independence structure of natural conjugate densities to exponential families and the Gibbs' sampler

Author keywords

Conjugate densities; Exponential families; Gibbs' sampler; Hyper Markov laws; Iterative proportional fitting

Indexed keywords


EID: 0034340793     PISSN: 03036898     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9469.00182     Document Type: Article
Times cited : (17)

References (19)
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    • Besag, J.1
  • 6
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    • Some matrix-variate distribution theory: Notational consideration and a Bayesian application
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    • (1981) Biometrika , vol.68 , pp. 265-274
    • Dawid, A.P.1
  • 7
    • 21344482755 scopus 로고
    • Hyper Markov laws in the statistical analysis of decomposable graphical models
    • Dawid, A. P. & Lauritzen, S. L. (1993). Hyper Markov laws in the statistical analysis of decomposable graphical models. Ann. Statist. 21, 1272-1317.
    • (1993) Ann. Statist. , vol.21 , pp. 1272-1317
    • Dawid, A.P.1    Lauritzen, S.L.2
  • 8
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  • 16
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    • Simple conditions for the convergence of the Gibbs sampler and the Metropolis-Hastings algorithms
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    • Roberts, G.O.1    Smith, A.F.M.2
  • 18
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    • Markov chains for exploring posterior distributions
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    • Tierney, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.