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Asymptotic normality for L-1-norm kernel estimator of conditional median under association dependence

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Publication details

JournalJournal of Multivariate Analysis
DatePublished - Jul 2007
Issue number6
Number of pages17
Pages (from-to)1214-1230
Original languageEnglish


Let {Xi, Yi}(i=1)(infinity) be a set of observations from a stationary jointly associated process and theta(x) be the conditional median, that is, theta(x) = inf{y : P (Y = (1/)(2)). We consider the problem of estimating theta(x) based on the L-1-norm kernel and establish asymptotic normality of the resulting estimator theta(n)(x). (c) 2006 Elsevier Inc. All rights reserved.

    Research areas

  • conditional median, associated processes, TIME-SERIES, QUANTILE, RANDOM-VARIABLES, REGRESSION, asymptotic normality, L-1-norm kernel

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