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A maximum likelihood approximation method for Dirichlet's parameter estimation

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  • Wicker, Nicolas
  • Muller, Jean
  • Kalathur, Ravi Kiran Reddy
  • Poch, Olivier

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  • Wicker, Nicolas & Muller, Jean & Kalathur, Ravi Kiran Reddy & Poch, Olivier, 2008. "A maximum likelihood approximation method for Dirichlet's parameter estimation," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1315-1322, January.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:3:p:1315-1322
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    References listed on IDEAS

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    1. Celeux, Gilles & Govaert, Gerard, 1992. "A classification EM algorithm for clustering and two stochastic versions," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 315-332, October.
    2. A. Narayanan, 1991. "Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 365-374, June.
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    Cited by:

    1. Felipe Zúñiga & Juan Carlos Muñoz & Ricardo Giesen, 2021. "Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information," Public Transport, Springer, vol. 13(1), pages 59-80, March.
    2. Hu, Yang & Baraldi, Piero & Di Maio, Francesco & Zio, Enrico, 2015. "A particle filtering and kernel smoothing-based approach for new design component prognostics," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 19-31.
    3. Monique Graf, 2020. "Regression for compositions based on a generalization of the Dirichlet distribution," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 913-936, December.

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