Boosted Regression Estimates of Spatial Data: Pointwise Inference | Science Publications

Journal of Mathematics and Statistics

Marco d. marzio¹  charles c. taylor¹ 

关键词: Boosting;    coverage rate;    cross validation;    machine learning;    Nadaraya-Watson estimator;   

DOI  :  10.3844/jmssp.2005.257.266

学科分类：社会科学、人文和艺术（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown