An application of the GAM-PCA-VAR model to respiratory disease and air pollution data

Valderio Reisen and Marton Ispany ()
January 26, 2018 — 10:30 — "Salle du conseil du L2S"

Abstract

The hybrid GAM-PCA-VAR model, which is the combination of the principal component analysis (PCA) and the generalized additive model (GAM) along with a vector autoregressive (VAR) process, is proposed for studying the health effects of air pollution. The model is applied to a real data set with the aim of quantifying the association between the number of hospital admissions for respiratory diseases as response variable and air pollution concentrations, especially, PM10, SO2, NO2, CO and O3, as covariates.