Nonparametric estimation of distributions with categorical and continuous data
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References listed on IDEAS
- Grund, B. & Hall, P., 1993. "On the Performance of Kernel Estimators for High-Dimensional, Sparse Binary Data," Journal of Multivariate Analysis, Elsevier, vol. 44(2), pages 321-344, February.
- Hall, Peter, 1984. "Central limit theorem for integrated square error of multivariate nonparametric density estimators," Journal of Multivariate Analysis, Elsevier, vol. 14(1), pages 1-16, February.
- Gerfin, Michael, 1996.
"Parametric and Semi-parametric Estimation of the Binary Response Model of Labor Market Participation,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 11(3), pages 321-339, May-June.
- Michael Gerfin, 1993. "Parametric and Semiparametric Estimation of the Binary Response Model of Labor Market Participation," Diskussionsschriften dp9315, Universitaet Bern, Departement Volkswirtschaft.
- Grund, B., 1993. "Kernel Estimators for Cell Probabilities," Journal of Multivariate Analysis, Elsevier, vol. 46(2), pages 283-308, August.
More about this item
KeywordsDiscrete and continuous variables Density estimation Nonparametric smoothing Cross-validation Asymptotic normality;
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