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Nonparametric estimation of multivariate CDF with categorical and continuous data
Ju, Gaosheng; Li, Rui; Liang, Zhongwen - In: Nonparametric econometric methods, (pp. 291-318). 2010
Persistent link: https://www.econbiz.de/10010216414
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K-nearest-neighbour non-parametric estimation of regression functions in the presence of irrelevant variables
Li, Rui; Gong, Guan - In: The econometrics journal 11 (2008) 2, pp. 396-408
Persistent link: https://www.econbiz.de/10003750846
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Efficient semiparametric estimation for Gini inequality treatment effects
Lv, Xiaofeng; Li, Rui; Fang, Zheng - In: Economics letters 154 (2017), pp. 96-100
Persistent link: https://www.econbiz.de/10011815194
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Semiparametric tail index regression
Li, Rui; Leng, Chenlei; You, Jinhong - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 1, pp. 82-95
Persistent link: https://www.econbiz.de/10012804089
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Nonparametric estimation of multivariate CDF with categorical and continuous data
Ju, Gaosheng; Li, Rui; Liang, Zhongwen - In: Nonparametric econometric methods, (pp. 291-318). 2009
In this paper we construct a nonparametric kernel estimator to estimate the joint multivariate cumulative distribution function (CDF) of mixed discrete and continuous variables. We use a data-driven cross-validation method to choose optimal smoothing parameters which asymptotically minimize the...
Persistent link: https://www.econbiz.de/10015382581