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Volumn 51, Issue 2, 2006, Pages 747-761

Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions

Author keywords

Acceleration; Clustering; eBay; Evolutionary computation; Functional data; Genetic algorithm; Global optimum; Mixture model; Monte Carlo EM; Online auction

Indexed keywords

ACCELERATION; COMPUTATION THEORY; DATABASE SYSTEMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; MONTE CARLO METHODS;

EID: 33750304034     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.03.013     Document Type: Article
Times cited : (9)

References (22)
  • 2
    • 0033475053 scopus 로고    scopus 로고
    • Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
    • Booth J.G., and Hobert J.P. Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J. Roy. Statist. Soc. B 61 (1999) 265-285
    • (1999) J. Roy. Statist. Soc. B , vol.61 , pp. 265-285
    • Booth, J.G.1    Hobert, J.P.2
  • 3
    • 84993741970 scopus 로고    scopus 로고
    • A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model
    • Booth J.G., Hobert J.P., and Jank W.S. A survey of Monte Carlo algorithms for maximizing the likelihood of a two-stage hierarchical model. Statist. Modelling 1 (2001) 333-349
    • (2001) Statist. Modelling , vol.1 , pp. 333-349
    • Booth, J.G.1    Hobert, J.P.2    Jank, W.S.3
  • 4
    • 33750378444 scopus 로고    scopus 로고
    • Borle, S., Boatwright, P., Kadane, J.B., 2003. The common/private-value continuum: an empirical investigation using ebay online auctions. Technical Report, Rice University.
  • 5
    • 17744363105 scopus 로고    scopus 로고
    • Botev, Z., Kroese, D., 2004. Global likelihood optimization via the cross-entropy method with an application to mixture models. In: Proceedings of the 2004 Winter Simulation Conference, IEEE Press, New York, pp. 529-535.
  • 6
    • 0002558783 scopus 로고
    • On the convergence of the EM algorithm
    • Boyles R.A. On the convergence of the EM algorithm. J. Roy. Statist. Soc. B 45 (1983) 47-50
    • (1983) J. Roy. Statist. Soc. B , vol.45 , pp. 47-50
    • Boyles, R.A.1
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster A.P., Laird N.M., and Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. B 39 (1977) 1-22
    • (1977) J. Roy. Statist. Soc. B , vol.39 , pp. 1-22
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 9
    • 33750373401 scopus 로고    scopus 로고
    • Doornik, J., 2002. Object-oriented Matrix Programming using ox, third ed. Timberlake Consultants Press and Oxford, London 〈www.nuff.ox.ac.uk/Users/Doornik〉.
  • 10
    • 33750331192 scopus 로고    scopus 로고
    • Heath, J., Fu, M., Jank, W., 2006. Global optimization with MRAS, cross entropy and the EM algorithm. Working paper, Smith School of Business, University of Maryland.
  • 12
    • 33750381551 scopus 로고    scopus 로고
    • Ipsen, I., Lee, D., 2003. Determinant approximations. Technical Report, Department of Mathematics, North Carolina State University.
  • 13
    • 0043245795 scopus 로고    scopus 로고
    • Clustering sparsely sampled functional data
    • James G.M., and Sugar C.A. Clustering sparsely sampled functional data. J. Amer. Statist. Assoc. 98 462 (2003) 397-408
    • (2003) J. Amer. Statist. Assoc. , vol.98 , Issue.462 , pp. 397-408
    • James, G.M.1    Sugar, C.A.2
  • 14
    • 33750324374 scopus 로고    scopus 로고
    • Jank, W.S., Shmueli, G., 2003. Dynamic profiling of online auctions using curve clustering. Technical Report, Smith School of Business, University of Maryland.
  • 15
    • 0035628553 scopus 로고    scopus 로고
    • Implementations of the Monte Carlo EM algorithm
    • Levine R., and Casella G. Implementations of the Monte Carlo EM algorithm. J. Comput. Graphical Statist. 10 (2001) 422-439
    • (2001) J. Comput. Graphical Statist. , vol.10 , pp. 422-439
    • Levine, R.1    Casella, G.2
  • 16
    • 2442599184 scopus 로고    scopus 로고
    • An automated (Markov Chain) Monte Carlo EM algorithm
    • Levine R., and Fan J. An automated (Markov Chain) Monte Carlo EM algorithm. J. Statist. Comput. Simul. 74 (2004) 349-359
    • (2004) J. Statist. Comput. Simul. , vol.74 , pp. 349-359
    • Levine, R.1    Fan, J.2
  • 17
    • 33749263229 scopus 로고    scopus 로고
    • On some variants of the EM algorithm for fitting finite mixture models
    • Ng S.-K., and McLachlan G.J. On some variants of the EM algorithm for fitting finite mixture models. Austral. J. Statist. 32 (2003) 143-161
    • (2003) Austral. J. Statist. , vol.32 , pp. 143-161
    • Ng, S.-K.1    McLachlan, G.J.2
  • 18
    • 0001098534 scopus 로고
    • EM and beyond
    • Rubin D.B. EM and beyond. Psychometrika 56 (1991) 241-254
    • (1991) Psychometrika , vol.56 , pp. 241-254
    • Rubin, D.B.1
  • 20
    • 33750332732 scopus 로고    scopus 로고
    • Wang, S., Jank, W.S., Shmueli, G., 2005. Forecasting ebay's online auction prices using functional data analysis. Technical Report, Smith School of Business, University of Maryland.
  • 21
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
    • Wei G.C.G., and Tanner M.A. A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms. J. Amer. Statist. Assoc. 85 (1990) 699-704
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 699-704
    • Wei, G.C.G.1    Tanner, M.A.2
  • 22
    • 0002210265 scopus 로고
    • On the convergence properties of the EM algorithm
    • Wu C.F.J. On the convergence properties of the EM algorithm. Ann. Statist. 11 (1983) 95-103
    • (1983) Ann. Statist. , vol.11 , pp. 95-103
    • Wu, C.F.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.