Local asymptotics for polynomial spline regression

Local Asymptotics for Polynomial Spline Regression

In this paper we develop a general theory of local asymptotics for least squares estimates over polynomial spline spaces in a regression problem. The polynomial spline spaces we consider include univariate splines, tensor product splines, and bivariate or multivariate splines on triangulations. We establish asymptotic normality of the estimate and study the magnitude of the bias due to spline a...

Asymptotics for polynomial spline regression under weak conditions

We derive rate of convergence for spline regression under weak conditions. The results improve upon those in Huang (Ann. Statist. 26 (1998a) 242) in two ways. Firstly, results are obtained under less stringent conditions on the growing rate of the number of knots. Secondly, L2 approximation instead of L∞ approximation by splines are used to bound the rate of convergence, this allows us to obtai...

Polynomial Spline Confidence Bands for Regression Curves

Asymptotically exact and conservative confidence bands are obtained for a nonparametric regression function, using piecewise constant and piecewise linear spline estimation, respectively. Compared to the pointwise confidence interval of Huang (2003), the confidence bands are inflated by a factor proportional to {log (n)}, with the same width order as the Nadaraya-Watson bands of Härdle (1989), ...

Asymptotics for penalized spline estimators in quantile regression

Quantile regression predicts the τ -quantile of the conditional distribution of a response variable given the explanatory variable for τ ∈ (0, 1). The aim of this paper is to establish the asymptotic distribution of the quantile estimator obtained by penalized spline method. A simulation and an exploration of real data are performed to validate our results.

Local Polynomial Regression