Nearest Neighbor Regression Function Estimation with Censored Data
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Graphical Abstract
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Abstract
Let (X, Y) be an R2 valued vector with E|Y| <∞. Yi are censored by random variables ti with d.f.G and the available observations are of the form (zi, δi, Xi), 1≤i≤n, where Zi = Yi Λti andδi = I(Yi ≤ ti). To estimate the regression function m(x0) = E(Y|X =x0),we propose a Stute’s(1984) type estimator, i.e. the nearest neighbor regression estimator, when the data subject to cellsoring. It is established the strong consistency of the nearest neighbor regression estimator.
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