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- W2080491599 abstract "In this paper we study some asymptotic properties of the kernel conditional quantile estimator with randomly left-truncated data which exhibit some kind of dependence. We extend the result obtained by Lemdani, Ould-Said and Poulin [16] in the iid case. The uniform strong convergence rate of the estimator under strong mixing hypothesis is obtained." @default.
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- W2080491599 date "2008-10-07" @default.
- W2080491599 modified "2023-09-27" @default.
- W2080491599 title "A strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data" @default.
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