In this paper, we tackle the study of the relationship between daily non accidental deaths and air pollution in the city of Philadelphia in the years 1974 -1988. For modelling the data, we propose to make use of dynamic generalized linear models. These models allow to deal with the serial dependence and time-varying effects of the covariates. Inference is performed by using extended Kaiman filter and smoother.
CHIOGNA M., GAETAN C. (2004). Mortality and air pollution in Philadelphia: a dynamic generalized linear modelling approach. Berlin · Heidelberg : SPRINGER.
Mortality and air pollution in Philadelphia: a dynamic generalized linear modelling approach
CHIOGNA M.;
2004
Abstract
In this paper, we tackle the study of the relationship between daily non accidental deaths and air pollution in the city of Philadelphia in the years 1974 -1988. For modelling the data, we propose to make use of dynamic generalized linear models. These models allow to deal with the serial dependence and time-varying effects of the covariates. Inference is performed by using extended Kaiman filter and smoother.File in questo prodotto:
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