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

Authors

Jean François Angers, University of Montreal
Atanu Biswas, Indian Statistical Institute, Kolkata
Jing Shiang Hwang, Academia Sinica, Institute of Statistical Science

Article Type

Research Article

Publication Title

Communications in Statistics: Simulation and Computation

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.

First Page

5504

Last Page

5515

DOI

10.1080/03610918.2016.1165839

Publication Date

8-9-2017

Recommended Citation

Angers, Jean François; Biswas, Atanu; and Hwang, Jing Shiang, "Wavelet-based Bayesian nonlinear regression for the air pollution effects on clinic visits in small areas of Taiwan" (2017). Journal Articles. 2456.
https://digitalcommons.isical.ac.in/journal-articles/2456