Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health

DOI10.1016/j.csda.2006.05.026zbMath1162.62440OpenAlexW2076951124MaRDI QIDQ1020093

Marc Saez, Michela Baccini, Annibale Biggeri, Aitana Lertxundi, Corrado Lagazio

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.05.026

zbMATH Keywords

air pollutionsmoothing splinegeneralized additive modelregression splinepenalized regression splineepidemiological time series

Mathematics Subject Classification ID

Related Items (3)

Identification and estimation of generalized additive partial linear models with nonignorable missing response ⋮ Adjusting for Nonignorable Missingness When Estimating Generalized Additive Models ⋮ Ensemble classification based on generalized additive models

Uses Software

• R
• GAMS
• SAS
• SemiPar

Cites Work

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• Generalized additive models
• A practical guide to splines
• Direct generalized additive modeling with penalized likelihood.
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Flexible smoothing with P-splines: a unified approach
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Semiparametric Regression
• Improved Semiparametric Time Series Models of Air Pollution and Mortality
• Estimation and inference in partially linear models with smoothing splines

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