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Volumn 3, Issue 4, 2009, Pages 1448-1466

Hierarchical mixture models for assessing fingerprint individuality

Author keywords

Bayesian inference; Fingerprint individuality; Gaussian mixtures; Model based clustering; Reversible jump Markov chain Monte Carlo methods

Indexed keywords


EID: 79958758551     PISSN: 19326157     EISSN: 19417330     Source Type: Journal    
DOI: 10.1214/09-AOAS266     Document Type: Article
Times cited : (6)

References (16)
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  • 2
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  • 4
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  • 5
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    • Bayesian density estimation and inference using mixtures
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  • 7
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    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green, P. (1995). Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82 711-732.
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    • Green, P.1
  • 8
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    • On the Bayesian analysis of mixtures with an unknown number of components
    • Green, P. and Richardson, S. (1997). On the Bayesian analysis of mixtures with an unknown number of components. J. Roy. Statist. Soc. Ser. B 59731-792.
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    • Green, P.1    Richardson, S.2
  • 9
    • 1542469706 scopus 로고    scopus 로고
    • Bayesian model selection in finite mixtures by marginal density decompositions
    • Ishwaran, H., James, L. F. and Sun, J. (2001). Bayesian model selection in finite mixtures by marginal density decompositions. J. Amer. Statist. Assoc. 96 1316-1332.
    • (2001) J. Amer. Statist. Assoc , vol.96 , pp. 1316-1332
    • Ishwaran, H.1    James, L.F.2    Sun, J.3
  • 12
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    • Practical Bayesian density estimation using mixtures of normals
    • Roeder, K. and Wasserman, L. (1997). Practical Bayesian density estimation using mixtures of normals. J. Amer. Statist. Assoc. 92 894-903.
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  • 13
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    • The occurence of fingerprint characteristics as a two dimensional process
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  • 14
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    • A critical analysis of quantitative fingerprint individuality models
    • Stoney, D. A. and Thornton, J. I. (1986). A critical analysis of quantitative fingerprint individuality models. Journal of Forensic Sciences 31 1187-1216.
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  • 15
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    • Robust estimation of mixture complexity for count data
    • Woo, M. J. and Sriram, T. N. (2007). Robust estimation of mixture complexity for count data. Comput. Statist. Data Anal. 51 4379-4392.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.