The Approximate Distribution of Nonparametric Regression Estimates
An improved normal approximation is obtained for the joint distribution of kernel nonparametric regression estimates, in the presence of arbitrarily many stochastic regres-sors and heteroscedastic but conditionally normal errors. The approximation and its goodness are affected by kernel choice and bandwidth rate.
nonparametric regression stochastic regressors kernel estimates optimal bandwidth
Jifu Nong
College of Mathematics and Computer Science Guangxi University for Nationalities Nanning, China
国际会议
黄山
英文
182-185
2010-05-28(万方平台首次上网日期,不代表论文的发表时间)