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Kernel Regression Estimation Under Dependence  

Kim, Tae-Yoon (Department of Statistics, Keimyung University)
Kim, Donghoh (R&D Department, LKFS)
Publication Information
Journal of the Korean Statistical Society / v.31, no.3, 2002 , pp. 359-368 More about this Journal
Abstract
Nonparametric kernel regression problem is considered for a stationary dependent sequence {(Xi, Yj) 1 j $\geq$ 1 }. In particular consistency and rates of convergence are discussed, which gives some useful insight for the effect of dependence for stationary $\alpha$-mixing sequences.
Keywords
Kernel regression estimates; stationarity; convergence rates;
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  • Reference
1 Nonparametric regression estimation under mixing conditions /
[ Roussas, G. ] / Stochastic Processes and Their Applications   DOI   ScienceOn
2 Moment bounds for mixing random variables useful in nonparametric function estimation /
[ Cox, D.;Kim, T.Y. ] / Stochastic Processes and Their Applications   DOI   ScienceOn
3 Nonparametric function estimation for time series by local average estimators /
[ Tran, L.H. ] / The Annals of Statistics   DOI   ScienceOn
4 Uniform strong consisitency of kernel density estimators under dependence /
[ Kim, T.Y.;Cox, D. ] / Statistics & Probability Letters   DOI   ScienceOn
5 Nonparametric function estimation involving time series /
[ Troung, Y.K.;Stone, C.J. ] / The Annals of Statistics   DOI   ScienceOn
6 /
[ Bosq , D. ] / Nonparametric Statistics for Stochastic Processes
7 Nonparametric estimators for time series /
[ Robinson, P.M. ] / Journal of Time Series Analysis   DOI