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Alternating kernel and mixture density estimates

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  • Priebe, Carey E.
  • Marchette, David J.

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  • Priebe, Carey E. & Marchette, David J., 2000. "Alternating kernel and mixture density estimates," Computational Statistics & Data Analysis, Elsevier, vol. 35(1), pages 43-65, November.
    • Handle: RePEc:eee:csdana:v:35:y:2000:i:1:p:43-65
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    References listed on IDEAS

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    1. Marron, J.S. & Schmitz, H.-P., 1992. "Simultaneous Density Estimation of Several Income Distributions," Econometric Theory, Cambridge University Press, vol. 8(4), pages 476-488, December.
    2. Cao, Ricardo & Cuevas, Antonio & Fraiman, Ricardo, 1995. "Minimum distance density-based estimation," Computational Statistics & Data Analysis, Elsevier, vol. 20(6), pages 611-631, December.
    3. G. J. McLachlan, 1987. "On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 318-324, November.
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    Cited by:

    1. Priebe, Carey E. & Miller, Michael I. & Tilak Ratnanather, J., 2006. "Segmenting magnetic resonance images via hierarchical mixture modelling," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 551-567, January.
    2. ChafaI¨, Djalil & Loubes, Jean-Michel, 2006. "On nonparametric maximum likelihood for a class of stochastic inverse problems," Statistics & Probability Letters, Elsevier, vol. 76(12), pages 1225-1237, July.
    3. Robin, Stephane & Bar-Hen, Avner & Daudin, Jean-Jacques & Pierre, Laurent, 2007. "A semi-parametric approach for mixture models: Application to local false discovery rate estimation," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5483-5493, August.
    4. Sangyeol Lee & Taewook Lee, 2008. "Robust estimation for the order of finite mixture models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(3), pages 365-390, November.
    5. Woo, Mi-Ja & Sriram, T.N., 2007. "Robust estimation of mixture complexity for count data," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4379-4392, May.
    6. Jones, M.C. & Henderson, D.A., 2009. "Maximum likelihood kernel density estimation: On the potential of convolution sieves," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3726-3733, August.

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