Wavelet-based Bayesian nonlinear regression for the air pollution effects on clinic visits in small areas of Taiwan. Issue 7 (9th August 2017)

• Record Type: Journal Article
• Authors: Angers, Jean-François; Biswas, Atanu; Hwang, Jing-Shiang
• Is Part Of: Communications in statistics. Volume 46:Issue 7(2017)
• Page Start: 5504
• Page End: 5515
• Publication Date: 2017-08-09
• Subjects: Bayesian model averaging -- Bayesian predictive values -- Daily clinic visit rate -- Daubechies wavelet -- Model selection; Primary 62P12 -- Secondary 62J02; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2016.1165839
• Languages: English
• ISSNs: 0361-0918

Abstract

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.