Back to Search
Start Over
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property
- Publication Year :
- 2015
-
Abstract
- The local polynomial estimator is particularly affected by the curse of dimensionality. So, the potentialities of such a tool become ineffective for large dimensional applications. Motivated by this, we propose a new estimation procedure based on the local linear estimator and a nonlinearity sparseness condition, which focuses on the number of covariates for which the gradient is not constant. Our procedure, called BID for Bias-Inflation-Deflation, is automatic and easily applicable to models with many covariates without any additive assumption to the model. It simultaneously gives a consistent estimation of a) the optimal bandwidth matrix, b) the multivariate regression function and c) the multivariate, bias-corrected, confidence bands. Moreover, it automatically identify the relevant covariates and it separates the nonlinear from the linear effects. We do not need pilot bandwidths. Some theoretical properties of the method are discussed in the paper. In particular, we show the nonparametric oracle property. For linear models, the BID automatically reaches the optimal rate $Op(n^{-1/2})$, equivalent to the parametric case. A simulation study shows a good performance of the BID procedure, compared with its direct competitor.
- Subjects :
- Statistics and Probability
Multivariate statistics
Variable selection
multivariate nonparametric regression, multivariate bandwidth selection, multivariate confidence bands
MathematicsofComputing_NUMERICALANALYSIS
jel:C88
01 natural sciences
010104 statistics & probability
Bayesian multivariate linear regression
Multivariate nonparametric regression
Multivariate bandwidth selection
0502 economics and business
Statistics
Applied mathematics
0101 mathematics
050205 econometrics
Mathematics
Parametric statistics
Numerical Analysis
05 social sciences
Linear model
Nonparametric statistics
Estimator
jel:C14
Multivariate confidence bands
Nonparametric regression
jel:C15
jel:C18
Statistics, Probability and Uncertainty
Curse of dimensionality
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....a0b77f9c3ece24ac36861a1cdbbae570