A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples
In this paper, we discuss the estimation of a density function based on censored data by the kernel smoothing method when the survival and the censoring times form a stationary [alpha]-mixing sequence.
Liang, Han-Ying, de Ua-lvarez, Jacobo
core
On the convergence rates of kernel estimator and hazard estimator for widely dependent samples. [PDF]
J Inequal Appl, 2018 Li Y, Zhou Y, Liu C.
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Nonparametric estimation of a bivariate survivorship function with doubly censored data
The problem of nonparametric estimation of a bivariate survivorship function with doubly censored data is considered. A self-consistent estimator is developed by first "reducing" the problem to that of estimation in a singly and right censored situation.
Korwar, Ramesh M.
core
A Class of Structured High-Dimensional Dynamic Covariance Matrices. [PDF]
Commun Math StatYang J, Lian H, Zhang W.
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Normal Laws for Two Entropy Estimators on Infinite Alphabets. [PDF]
Entropy (Basel), 2018 Chen C +4 more
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Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data. [PDF]
Stat MedZhao M +5 more
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Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy. [PDF]
Electron J Stat, 2017 Song R +5 more
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Inverse-Probability-Weighted Kernel Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes. [PDF]
Entropy (Basel)Bouzebda S, Didi S.
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