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Volumn 83, Issue 2, 1996, Pages 275-285

A semiparametric Bayesian model for randomised block designs

Author keywords

Dirichlet process; Gibbs sampler Hierarchical model

Indexed keywords


EID: 0000904732     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/83.2.275     Document Type: Article
Times cited : (241)

References (12)
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  • 3
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  • 5
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  • 7
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    • MACEACHERN, S. N. (1994). Estimating normal means with a conjugate style Dirichlet process prior. Commun. Statist. B 23, 727-41.
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    • Maceachern, S.N.1
  • 9
    • 0002881872 scopus 로고    scopus 로고
    • Bayesian curve fitting using multivariate normal mixtures
    • MÜLLER, P., ERKANLI, A. & WEST, M. (1996). Bayesian curve fitting using multivariate normal mixtures. Biometrika 83, 67-79.
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    • Müller, P.1    Erkanli, A.2    West, M.3
  • 10
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    • Bayes estimates in one-way and two-way models
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    • WEST, M., MÜLLER, P. & ESCOBAR, M. D. (1994). Hierarchical priors and mixture models, with application in regression and density estimation. In Aspects of Uncertainty: A Tribute to D. V. Lindley, Ed. A. F. M. Smith and P. Freeman, pp. 363-86. New York: Wiley.
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  • 12
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    • Deconvolution of mixtures in analysis of neural synaptic transmission
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.