Estimation of a regression function by the parzen kernel-type density estimators

  • Kazuo Noda


In this paper a theory of estimation of a regression function by the Parzen kernel-type density estimators is developed in the following points: 1) convergence of the estimators to the regression function at a continuous point, 2) convergence of the mean square error at a continuous point, and 3) the speed of the convergence in 2).


Natural Number Probability Density Function Regression Function Conditional Variance Continuous Point 
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Copyright information

© The Institute of Statistical Mathematics 1976

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  • Kazuo Noda

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