@article {10.3844/jmssp.2005.257.266,
article_type = {journal},
title = {Boosted Regression Estimates of Spatial Data: Pointwise Inference},
author = {Di Marzio, Marco and Taylor, Charles C.},
volume = {1},
year = {2005},
month = {Dec},
pages = {257-266},
doi = {10.3844/jmssp.2005.257.266},
url = {https://thescipub.com/abstract/jmssp.2005.257.266},
abstract = {In this study simple nonparametric techniques have been adopted to estimate the trend surface of the Swiss rainfall data. In particular we employed the Nadaraya-Watson smoother and in addition, an adapted-by boosting-version of it. Additionally, we have explored the use of the Nadaraya-Watson estimator for the construction of pointwise confidence intervals. Overall, boosting does seem to improve the estimate as much as previous examples and the results indicate that cross-validation can be successfully used for parameter selection on real datasets. In addition, our estimators compare favorably with most of the techniques previously used on this dataset.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}