RATES OF CONVERGENCE FOR THE ESTIMATES OF THE OPTIMAL TRANSFORMATIONS OF VARIABLES

成果类型:
Article
署名作者:
BURMAN, P
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/aos/1176348116
发表日期:
1991
页码:
702-723
关键词:
generalized additive-models regression
摘要:
We consider here spline estimates of the optimal transformations of variables for multiple correlation and regression as dealt with in a recent paper by Breiman and friedman. We show that we can construct estimates of the optimal transformations which have the same optimal rate of convergence as in the usual nonparametric estimation of a univariate function.