Representations for Integral Functionals of Kernel Density Estimators
We establish a representation as a sum of independent random variables, plus a remainder term, for estimators of integral functionals of the density function, which have a certain simple structure. From this representation we derive a central limit theorem, a law of large numbers and a law of the it...
Main Author: | David M. Mason |
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Format: | Article |
Language: | English |
Published: |
Austrian Statistical Society
2016-04-01
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Series: | Austrian Journal of Statistics |
Online Access: | http://www.ajs.or.at/index.php/ajs/article/view/453 |
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