A KERNEL-METHOD OF ESTIMATING STRUCTURED NONPARAMETRIC REGRESSION-BASED ON MARGINAL INTEGRATION

• 成果类型: Article
• 署名作者: LINTON, O; NIELSEN, JP
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/82.1.93
• 发表日期: 1995
• 页码: 93100
• 关键词: models

摘要

We define a simple kernel procedure based on marginal integration that estimates the relevant univariate quantity in both additive and multiplicative nonparametric regression.