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IMPROVED SEMI-PARAMETRIC TIME SERIES MODELS OF AIR POLLUTION AND MORTALITY
Semiparametric regression time series Particulate Matter (PM) Generalized Additive Model Generalized Linear Model Mean Squared Error Bandwidth Selection
2015/8/21
In 2002, methodological issues around time series analyses of air pollution and health attracted the attention of the scientific community, policy makers, the press, and the diverse stakeholders conce...
A Bayesian localised conditional auto-regressive model for estimating the health effects of air pollution
Air pollution and health Conditional autoregressive models Spatial correlation
2013/6/14
Estimation of the long-term health effects of air pollution is a challenging task, especially when modelling small-area disease incidence data in an ecological study design. The challenge comes from t...
Multiple change-point Poisson model for threshold exceedances of air pollution concentrations
Applications (stat.AP)
2010/12/17
A Bayesian multiple change-point model is proposed to analyse violations of air quality standards by pollutants such as nitrogen oxides (NO2 and NO) and carbon monoxide (CO). The model is built on the...
Timescale effect estimation in time-series studies of air pollution and health: A Singular Spectrum Analysis approach
Airborne particulate matter PM10 Singular Spectrum Analysis - SSA Generalized additive models - GAM
2009/9/16
A wealth of epidemiological data suggests an association between mortality/morbidity from pulmonary and cardiovascular adverse events and air pollution, but uncertainty remains as to the extent implie...