Uniform-in-bandwidth nearest-neighbor density estimation

Author:

Ouadah Sarah

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. The exponential rate of convergence of error for kn-NN nonparametric regression and decision;Beck;Problems Control Inform. Theory/Problemy Upravlen. Teor. Inform.,1979

2. Comparison of kernel density estimates;Berlinet;Publ. Inst. Statist. Univ. Paris,1994

3. k-nearest neighbour method in functional nonparametric regression;Burba;J. Nonparametr. Stat.,2009

4. Estimation de la régression par la méthode des k points les plus proches avec noyau: quelques propriétés de convergence ponctuelle;Collomb,1980

5. Csörgő, M., Révész, P., 1980. A preliminary version of the preliminary version of an invariance principle for N. N. empirical density functions. Carleton Mathematical Lecture Note 27, Carleton Univ., Ottawa, pp. 91–113.

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1. Analysis of KNN Density Estimation;IEEE Transactions on Information Theory;2022-12

2. On the Convergence Rates of KNN Density Estimation;2021 IEEE International Symposium on Information Theory (ISIT);2021-07-12

3. kNN estimation in functional partial linear modeling;Statistical Papers;2017-08-29

4. Uniform in the smoothing parameter consistency results in functional regression;Contributions to Statistics;2017

5. Uniform in bandwidth consistency for various kernel estimators involving functional data;Journal of Nonparametric Statistics;2016-11-15

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