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Volumn 52, Issue 3, 2008, Pages 1315-1322

A maximum likelihood approximation method for Dirichlet's parameter estimation

Author keywords

Dirichlet distribution; Maximum likelihood; Parameter estimation; Proteins clustering

Indexed keywords

AMINO ACIDS; APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; BIOLOGY; CLUSTERING ALGORITHMS; DATA REDUCTION; ESTIMATION; IMAGE ANALYSIS; NEWTON-RAPHSON METHOD; PROTEINS;

EID: 35548942752     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2007.07.011     Document Type: Article
Times cited : (41)

References (26)
  • 2
    • 0016355478 scopus 로고
    • A new look at the statistical identification model
    • Akaike H. A new look at the statistical identification model. IEEE Trans. Automat. Control 19 (1974) 716-723
    • (1974) IEEE Trans. Automat. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 0027453616 scopus 로고
    • Model-based Gaussian and non-Gaussian clustering
    • Banfield J., and Raftery A. Model-based Gaussian and non-Gaussian clustering. Biometrics 49 (1993) 803-821
    • (1993) Biometrics , vol.49 , pp. 803-821
    • Banfield, J.1    Raftery, A.2
  • 4
    • 33645782918 scopus 로고    scopus 로고
    • Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span
    • Blei D., Franks K., Jordan M., and Mian I. Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span. BMC Bioinformatics 87 250 (2006)
    • (2006) BMC Bioinformatics , vol.87 , Issue.250
    • Blei, D.1    Franks, K.2    Jordan, M.3    Mian, I.4
  • 6
    • 33746365837 scopus 로고    scopus 로고
    • Unsupervised selection of a finite Dirichlet mixture model: an MML-based approach
    • Bouguila N., and Ziou D. Unsupervised selection of a finite Dirichlet mixture model: an MML-based approach. IEEE Trans. Knowledge Data Engrg. 18 8 (2006) 993-1009
    • (2006) IEEE Trans. Knowledge Data Engrg. , vol.18 , Issue.8 , pp. 993-1009
    • Bouguila, N.1    Ziou, D.2
  • 7
    • 7444239786 scopus 로고    scopus 로고
    • Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application
    • Bouguila N., Ziou D., and Vaillancourt J. Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application. IEEE Trans. Image Process. 13 11 (2004) 1533-1543
    • (2004) IEEE Trans. Image Process. , vol.13 , Issue.11 , pp. 1533-1543
    • Bouguila, N.1    Ziou, D.2    Vaillancourt, J.3
  • 8
    • 0035375050 scopus 로고    scopus 로고
    • Structural organization and regulation of the small proline-rich family of cornified envelope precursors suggest a role in adaptive barrier function
    • Cabral A., Voskamp P., Cleton-Jansen A.-M., South A., Nizetic D., and Backendorf C. Structural organization and regulation of the small proline-rich family of cornified envelope precursors suggest a role in adaptive barrier function. J. Biol. Chem. 26 22 (2001) 19231-19237
    • (2001) J. Biol. Chem. , vol.26 , Issue.22 , pp. 19231-19237
    • Cabral, A.1    Voskamp, P.2    Cleton-Jansen, A.-M.3    South, A.4    Nizetic, D.5    Backendorf, C.6
  • 9
    • 0001626339 scopus 로고
    • A classification EM algorithm for clustering and two stochastic versions
    • Celeux G., and Govaert G. A classification EM algorithm for clustering and two stochastic versions. J. Comput. Statist. Data Anal. 14 (1992) 315-332
    • (1992) J. Comput. Statist. Data Anal. , vol.14 , pp. 315-332
    • Celeux, G.1    Govaert, G.2
  • 10
    • 21844491996 scopus 로고
    • Comparison of the mixture and the classification maximum likelihood in cluster analysis
    • Celeux G., and Govaert G. Comparison of the mixture and the classification maximum likelihood in cluster analysis. J. Statist. Comput. Simulation 47 (1993) 127-146
    • (1993) J. Statist. Comput. Simulation , vol.47 , pp. 127-146
    • Celeux, G.1    Govaert, G.2
  • 12
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. Ser. B 39 (1977) 249-282
    • (1977) J. Roy. Statist. Soc. Ser. B , vol.39 , pp. 249-282
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 13
    • 0038253133 scopus 로고
    • Small sample comparison of estimation methods for the beta distribution
    • Dishon M., and Weiss G. Small sample comparison of estimation methods for the beta distribution. J. Statist. Comput. Simulation 11 (1980) 1-11
    • (1980) J. Statist. Comput. Simulation , vol.11 , pp. 1-11
    • Dishon, M.1    Weiss, G.2
  • 15
    • 0041707968 scopus 로고    scopus 로고
    • Maximum-likelihood and Markov chain Monte Carlo approaches to estimate inbreeding and effective size from allele frequency changes
    • Laval G., SanCristobal M., and Chevalet C. Maximum-likelihood and Markov chain Monte Carlo approaches to estimate inbreeding and effective size from allele frequency changes. Genetics 164 3 (2003) 1189-1204
    • (2003) Genetics , vol.164 , Issue.3 , pp. 1189-1204
    • Laval, G.1    SanCristobal, M.2    Chevalet, C.3
  • 18
    • 33644784153 scopus 로고
    • Algorithm AS266: maximum likelihood estimation of parameters of the Dirichlet distribution
    • Narayanan A. Algorithm AS266: maximum likelihood estimation of parameters of the Dirichlet distribution. Appl. Statist. 40 2 (1991) 365-374
    • (1991) Appl. Statist. , vol.40 , Issue.2 , pp. 365-374
    • Narayanan, A.1
  • 19
    • 0010953968 scopus 로고
    • Small sample properties of parameter estimation in the Dirichlet distribution
    • Narayanan A. Small sample properties of parameter estimation in the Dirichlet distribution. Commun. Statist. Simulation Comput. 20 2-3 (1991) 647-666
    • (1991) Commun. Statist. Simulation Comput. , vol.20 , Issue.2-3 , pp. 647-666
    • Narayanan, A.1
  • 20
    • 38249009639 scopus 로고
    • A note on parameter estimation in the multivariate beta distribution
    • Narayanan A. A note on parameter estimation in the multivariate beta distribution. Comput. Math. Appl. 24 10 (1992) 11-17
    • (1992) Comput. Math. Appl. , vol.24 , Issue.10 , pp. 11-17
    • Narayanan, A.1
  • 21
    • 18244378520 scopus 로고    scopus 로고
    • On Bayesian analysis of mixtures with an unknown number of components
    • Richardson S., and Green P. On Bayesian analysis of mixtures with an unknown number of components. J. Roy. Statist. Soc. Ser. B 59 4 (1997) 731-792
    • (1997) J. Roy. Statist. Soc. Ser. B , vol.59 , Issue.4 , pp. 731-792
    • Richardson, S.1    Green, P.2
  • 22
    • 0141484919 scopus 로고
    • Maximum likelihood estimation of Dirichlet distributions
    • Ronning G. Maximum likelihood estimation of Dirichlet distributions. J. Statist. Comput. Simulation 32 (1989) 215-221
    • (1989) J. Statist. Comput. Simulation , vol.32 , pp. 215-221
    • Ronning, G.1
  • 23
    • 34547890019 scopus 로고    scopus 로고
    • Functions of site-specific histone acetylation and deacetylation
    • Shahbazian M., and Grunstein M. Functions of site-specific histone acetylation and deacetylation. Annual Rev. Biochem. 76 (2007) 1-26
    • (2007) Annual Rev. Biochem. , vol.76 , pp. 1-26
    • Shahbazian, M.1    Grunstein, M.2
  • 24
    • 0029906607 scopus 로고    scopus 로고
    • Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology
    • Sjölander K., Karplus K., Brown M., Hughey R., Krogh A., Mian I., and Haussler D. Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology. Comput. Appl. Biosci. 12 (1996) 327-345
    • (1996) Comput. Appl. Biosci. , vol.12 , pp. 327-345
    • Sjölander, K.1    Karplus, K.2    Brown, M.3    Hughey, R.4    Krogh, A.5    Mian, I.6    Haussler, D.7
  • 26
    • 0030218143 scopus 로고    scopus 로고
    • The SR protein family: pleiotropic functions in pre-mRNA splicing
    • Valcárcel J., and Green M. The SR protein family: pleiotropic functions in pre-mRNA splicing. Trends Biochem. Sci. 21 (1996) 296-301
    • (1996) Trends Biochem. Sci. , vol.21 , pp. 296-301
    • Valcárcel, J.1    Green, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.