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Volumn 10, Issue , 2009, Pages 1611-1631

Marginal likelihood integrals for mixtures of independence models

Author keywords

Computational algebra; Exact integration; Marginal likelihood; Mixture of independence model

Indexed keywords

ALGEBRAIC ALGORITHMS; BAYESIAN STATISTICS; COMPUTATIONAL ALGEBRA; DIRICHLET PRIOR; DISCRETE DATA; EXACT INTEGRATION; GEOMETRIC LANGUAGES; INDEPENDENCE MODELS; MARGINAL LIKELIHOOD; SMALL SAMPLE SIZE; STATISTICAL MODELS;

EID: 68949164868     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (19)

References (17)
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  • 3
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    • Drton, M.1
  • 4
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    • Drton, M.1    Sturmfels, B.2    Sullivant, S.3
  • 5
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    • Latent class analysis of two-way contingency tables by bayesian methods
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  • 6
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    • S. Feinberg, P. Hersh, A. Rinaldo, and Y. Zhou. Maximum likelihood estimation in latent class models for contingency table data. arXiv:0709.3535, 2007.
  • 8
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    • S. Gao, G. Jiang, and M. Zhu. Solving the 100 swiss francs problem. arXiv:0809.4627, 2008.
    • S. Gao, G. Jiang, and M. Zhu. Solving the 100 swiss francs problem. arXiv:0809.4627, 2008.
  • 12
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    • A zonotope associated with graphical degree sequences
    • P. Gritzmann and B. Sturmfels, editors, Applied Geometry and Discrete Mathematics: The Victor Klee Festschrift, of, Amer. Math. Soc
    • R. Stanley. A zonotope associated with graphical degree sequences. In P. Gritzmann and B. Sturmfels, editors, Applied Geometry and Discrete Mathematics: The Victor Klee Festschrift, volume 4 of DIMACS Series in Discrete Mathematics, pages 555-570. Amer. Math. Soc., 1991.
    • (1991) DIMACS Series in Discrete Mathematics , vol.4 , pp. 555-570
    • Stanley, R.1
  • 13
    • 68949119111 scopus 로고    scopus 로고
    • B. Sturmfels. Open problems in algebraic statistics. In M. Putinar and S. Sullivant, editors, Emerging Applications of Algebraic Geometry, 149 of in Mathematics and its Applications, pages 351-364. I.M.A., 2008.
    • B. Sturmfels. Open problems in algebraic statistics. In M. Putinar and S. Sullivant, editors, Emerging Applications of Algebraic Geometry, volume 149 of Volumes in Mathematics and its Applications, pages 351-364. I.M.A., 2008.
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  • 16
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    • Newton diagram and stochastic complexity in mixture of binomial distributions
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    • S. Watanabe and K. Yamazaki. Newton diagram and stochastic complexity in mixture of binomial distributions. In Algorithmic Learning Theorem, volume 3244 of Lecture Notes in Computer Science, pages 350-364. Springer, 2004.
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    • Watanabe, S.1    Yamazaki, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.