Title: CONSISTENCY IN NONPARAMETRIC MINIMAX REGRESSION ESTIMATION
Abstract: ABSTRACT The problem of the minimax estimation of an additive nonparametric regression is considered. The regression function is assumed to belong to an ellipsoid-type subset of L 2([0,1]). We find the necessary and sufficient condition for the quadratic minimax risk to converge to zero. Keywords: Nonparametric regressionConsistencyMinimax risk Acknowledgments
Publication Year: 2002
Publication Date: 2002-07-23
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot