A Berry-Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis
Link
http://link.springer.com/content/pdf/10.1186/s13660-016-1272-0.pdf
Reference22 articles.
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2. Rosenblatt, M: A central limit theorem and a strong mixing condition. Proc. Natl. Acad. Sci. USA 42, 43-47 (1956)
3. Berry, AE: The accuracy of the Gaussian approximation to the sum of independent variates. Trans. Am. Math. Soc. 49(1), 122-136 (1941)
4. Esseen, CG: On the Liapunaff limit of error in the theory of probability. Ark. Mat. Astron. Fys. 28A(9), 1-19 (1942)
5. Parzen, E: On estimation of a probability density function and mode. Ann. Math. Stat. 33, 1065-1076 (1962)
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