Asymptotic normality of some kernel-type estimators of probability density-Reference-Cited by-同舟云学术

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Asymptotic normality of some kernel-type estimators of probability density

Published:1983-10 Issue:6 Volume:1 Page:295-300
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Bradley Richard C.

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference11 articles.

1. Central limit theorems under weak dependence;Bradley;J. Multivar. Anal.,1981

2. A sufficient conditions for linear growth of variances in a stationary random sequence;Bradley,1981

3. Sur l'estimation séquentielle de la densité;Deheuvels;C.R. Acad. Sci. Paris A,1973

4. A note on the central limit theorem for dependent random variables;Ibragimov;Theor. Probab. Appl.,1975

5. On estimation of a probability density and mode;Parzen;Ann. Math. Statist.,1962

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1. Asymptotic normality of kernel density estimation for mixing high-frequency data;Journal of Nonparametric Statistics;2024-01-25

2. New robust confidence intervals for the mean under dependence;Journal of Statistical Planning and Inference;2021-03

3. Finding exceedance locations in a large spatial database using nonparametric regression;Ecological Complexity;2021-01

4. References;Kernel Smoothing: Principles, Methods and Applications;2017-12-08

5. On kernel estimators of density for reversible Markov chains;Statistics & Probability Letters;2015-05

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