A Simple Wavelet Approach to Nonparametric Regression from Recursive Partitioning Schemes
Rates of convergence for nonparametric regression estimators based on recursive partitioning schemes are derived. The central idea is to consider the tree-structured regression estimator as a wavelet estimator based on the orthogonal system of Haar functions. A locally adaptive data-driven smoothing method is proposed and its performance is studied.
Year of publication: |
1994
|
---|---|
Authors: | Engel, J. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 49.1994, 2, p. 242-254
|
Publisher: |
Elsevier |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Polytomous logistic regression
Engel, J., (1988)
-
Aid for trade in practice : addressing political economy barriers to improve development outcomes
Basnett, Yurendra, (2013)
-
The distributional impacts of trade : empirical innovations, analytical tools, and policy responses
Engel, Jakob, (2021)
- More ...