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Predicting the Conditional Probability of Discovering a New Class

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  • Chang Xuan Mao

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  • Chang Xuan Mao, 2004. "Predicting the Conditional Probability of Discovering a New Class," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1108-1118, December.
    • Handle: RePEc:bes:jnlasa:v:99:y:2004:p:1108-1118
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    Cited by:

    1. Juan M. Lujano-Rojas & Rodolfo Dufo-López & Jesús Sergio Artal-Sevil & Eduardo García-Paricio, 2023. "Searching for Promisingly Trained Artificial Neural Networks," Forecasting, MDPI, vol. 5(3), pages 1-26, September.
    2. Stefano Favaro & Antonio Lijoi & Igor Prünster, 2012. "A New Estimator of the Discovery Probability," Biometrics, The International Biometric Society, vol. 68(4), pages 1188-1196, December.
    3. Antonio Lijoi & Igor Pruenster & Stephen G. Walker, 2008. "Bayesian nonparametric estimators derived from conditional Gibbs structures," ICER Working Papers - Applied Mathematics Series 06-2008, ICER - International Centre for Economic Research.
    4. Rodríguez, Abel, 2013. "On the Jeffreys prior for the multivariate Ewens distribution," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1539-1546.
    5. Camerlenghi, Federico & Lijoi, Antonio & Prünster, Igor, 2017. "Bayesian prediction with multiple-samples information," Journal of Multivariate Analysis, Elsevier, vol. 156(C), pages 18-28.
    6. Stefano Favaro & Antonio Lijoi & Ramsés H. Mena & Igor Prünster, 2009. "Bayesian non‐parametric inference for species variety with a two‐parameter Poisson–Dirichlet process prior," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(5), pages 993-1008, November.

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