Wavelet-based Bayesian nonlinear regression for the air pollution effects on clinic visits in small areas of Taiwan

ABSTRACT

We revisit the complete clinic visit records and environmental monitoring data at 50 townships and city districts of Taiwan. Extending the earlier analyses, here we consider a Bayesian analysis using Daubechies wavelet. Appropriate model selection is also considered using Bayesian model averaging. Temperature, dew point, and NO₂ and CO of the current day and the previous day are identified as the pollutants in different areas of the island following some spatial pattern.

KEYWORDS:

• Bayesian model averaging
• Bayesian predictive values
• Daily clinic visit rate
• Daubechies wavelet
• Model selection

MATHEMATICS SUBJECT CLASSIFICATION:

• Primary 62P12
• Secondary 62J02

Acknowledgment

The authors wish to thank the referee for careful reading.