arXiv · 1004.5199
Sequential adaptive estimators in nonparametric autoregressive models
Abstract
We constuct a sequential adaptive procedure for estimating the autoregressive function at a given point in nonparametric autoregression models with Gaussian noise. We make use of the sequential kernel estimators. The optimal adaptive convergence rate is given as well as the upper bound for the minimax risk.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Ouerdia Arkoun. 2010-11-10. Sequential adaptive estimators in nonparametric autoregressive models. https://arxiv.org/abs/1004.5199
Cite the original work for its findings. Save a collection to share your selection of sources.