PETER HALL'S CONTRIBUTIONS TO NONPARAMETRIC FUNCTION ESTIMATION AND MODELING

• 成果类型: Article
• 署名作者: Cheng, Ming-Yen; Fan, Jianqing
• 署名单位: National Taiwan University; Princeton University
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/16-AOS1490
• 发表日期: 2016
• 页码: 1837-1853
• 关键词: kernel density-estimation; varying-coefficient models; integrated square error; bootstrap confidence-intervals; group-testing data; Cross-validation; curve estimation; wavelet methods; monotonicity constraints; interpolation methods

摘要

Peter Hall made wide-ranging and far-reaching contributions to nonparametric modeling. He was one of the leading figures in the developments of nonparametric techniques with over 300 published papers in the field alone. This article gives a selective overview on the contributions of Peter Hall to nonparametric function estimation and modeling. The focuses are on density estimation, nonparametric regression, bandwidth selection, boundary corrections, inference under shape constraints, estimation of residual variances, analysis of wavelet estimators, multivariate regression and applications of nonparametric methods.