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A semi-Bayesian method for nonparametric density estimation

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  • de Bruin, R.
  • Salome, D.
  • Schaafsma, W.

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  • de Bruin, R. & Salome, D. & Schaafsma, W., 1999. "A semi-Bayesian method for nonparametric density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 30(1), pages 19-30, March.
    • Handle: RePEc:eee:csdana:v:30:y:1999:i:1:p:19-30
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    References listed on IDEAS

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    1. M. Jones, 1992. "Estimating densities, quantiles, quantile densities and density quantiles," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 44(4), pages 721-727, December.
    2. Munoz Perez, Jose & Fernandez Palacin, Ana, 1987. "Estimating the quantile function by Bernstein polynomials," Computational Statistics & Data Analysis, Elsevier, vol. 5(4), pages 391-397, September.
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    Cited by:

    1. Ouimet, Frédéric, 2021. "Asymptotic properties of Bernstein estimators on the simplex," Journal of Multivariate Analysis, Elsevier, vol. 185(C).
    2. Amatulli, Giuseppe & Peréz-Cabello, Fernando & de la Riva, Juan, 2007. "Mapping lightning/human-caused wildfires occurrence under ignition point location uncertainty," Ecological Modelling, Elsevier, vol. 200(3), pages 321-333.
    3. Albers, C. J. & Schaafsma, W., 2003. "Estimating a density by adapting an initial guess," Computational Statistics & Data Analysis, Elsevier, vol. 42(1-2), pages 27-36, February.
    4. Albers Casper J. & Schaafsma Willem, 2008. "Goodness of fit testing using a specific density estimate," Statistics & Risk Modeling, De Gruyter, vol. 26(1), pages 3-23, March.

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