Synthetically lagged models

作     者：Burr, Wesley S. Shin, Hwashin H. Takahara, Glen 

作者机构：Trent Univ Growski Coll Dept Math 1600 West Bank Dr Peterborough ON K9L0G2 Canada Hlth Canada EHRSB Populat Studies Div Ottawa ON Canada Queens Univ Dept Math & Stat Jeffrey Hall48 Univ Ave Kingston ON K7L 3N6 Canada 

出 版 物：《STATISTICS & PROBABILITY LETTERS》 (统计学与概率论通讯)

年 卷 期：2019年第144卷

页      面：37-43页

核心收录：

学科分类：07[理学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：Health Canada via grant program 'CESI' Health Canada via grant program 'CARA' CANSSI collaborative team research project, "Modern Spectrum Estimation in Time Series Analysis" 

主　　题：Air pollution Generalized additive models Lag Phase Multitaper spectrum estimation 

摘      要：Epidemiologic studies often report health risk due to short-term air pollution exposure through examination of lagged association, expressing manifestation of population health effects over time. We develop a new approach to the problem of lagged manifestation of air pollution exposure: synthetically lagged models. This approach also generalizes to other lagged time series regression models. (C) 2018 Elsevier B.V. All rights reserved.