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Asymptotic normality and Berry-Esseen results for conditional density estimator with censored and dependent data
Authors:Han-Ying Liang  Liang Peng
Affiliation:a Department of Mathematics, Tongji University, Shanghai 200092, PR China
b School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30332-0160, USA
Abstract:In this paper we derive the asymptotic normality and a Berry-Esseen type bound for the kernel conditional density estimator proposed in Ould-Saïd and Cai (2005) [26] when the censored observations with multivariate covariates form a stationary α-mixing sequence.
Keywords:62G07   62G20
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