Hae-Ryoung Song Song

Works (2)

Updated: July 17th, 2023 21:18

2008 journal article

A comparative study of Gaussian geostatistical models and Gaussian Markov random field models

JOURNAL OF MULTIVARIATE ANALYSIS, 99(8), 1681–1697.

By: H. Song*, M. Fuentes n & S. Ghosh n 

Contributors: H. Song*, M. Fuentes n & S. Ghosh n 

TL;DR: Two new metrics of approximation are proposed: the Kullback-Leibler discrepancy of spectral densities and the chi-squared distance between spectral densITIES, which are minimized to obtain the approximations of GGMs and GMRFs. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2006 journal article

Spatial association between speciated fine particles and mortality

BIOMETRICS, 62(3), 855–863.

By: M. Fuentes n, H. Song n, S. Ghosh n , D. Holland * & J. Davis n

Contributors: M. Fuentes n, H. Song n, S. Ghosh n , D. Holland * & J. Davis n

author keywords: ambient air pollution; Bayesian hierarchical models; conditional autoregressive models; environmental epidemiology; particulate matter; spatial statistics
MeSH headings : Air Pollutants / toxicity; Bayes Theorem; Biometry; Cardiovascular Diseases / etiology; Cardiovascular Diseases / mortality; Humans; Models, Biological; Models, Statistical; Mortality; Particle Size; Regression Analysis; Respiratory Tract Diseases / etiology; Respiratory Tract Diseases / mortality; Risk; United States / epidemiology
TL;DR: A multivariate spatial regression model is developed for the estimation of the risk of mortality associated with fine PM and its components across all counties in the conterminous United States and shows that in the Western United States, the nitrate and crustal components of the speciated fine PM seem to have more impact on mortality than the other components. (via Semantic Scholar)
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3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

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