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OPTIMAL GLOBAL RATES OF CONVERGENCE OF M-ESTIMATES FOR NONPARAMETRIC REGRESSION
作者姓名:SHI Peide  LI Guoying
作者单位:Institute of Systems Science,Academia Sinica,Beijing 100080,China
摘    要:OPTIMALGLOBALRATESOFCONVERGENCEOFM-ESTIMATESFORNONPARAMETRICREGRESSIONSHIPeide;LIGuoying(InstituteofSystemsScience,AcademiaSi...


OPTIMAL GLOBAL RATES OF CONVERGENCE OF M-ESTIMATES FOR NONPARAMETRIC REGRESSION
SHI Peide, LI Guoying.OPTIMAL GLOBAL RATES OF CONVERGENCE OF M-ESTIMATES FOR NONPARAMETRIC REGRESSION[J].Journal of Systems Science and Complexity,1995(1).
Authors:SHI Peide  LI Guoying
Abstract:Let (X, Y) be a pair of random variables such that X ranges over 0, 1] and Y is real-valued and let go(X) be the conditional expectation of Y given X. Based on a training sample, the piecewise polynomial estimator of go is obtained via usual M-estimates.It is proved that under certain regularity conditions the piecewise polynomial M-estimator achieves the optimal global rate of convergence of estimators for nonparametric regression.
Keywords:Nonparametric regression  optimal rate of convergencet piecewise polynomial  M-Estimates  
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