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

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  • Jank, Wolfgang

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  • Jank, Wolfgang, 2006. "Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 747-761, November.
    • Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:747-761
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    References listed on IDEAS

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    1. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    2. James G.M. & Sugar C.A., 2003. "Clustering for Sparsely Sampled Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 397-408, January.
    3. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506.
    4. Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167.
    5. Donald Rubin, 1991. "EM and beyond," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 241-254, June.
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