The moving-window Bayesian maximum entropy framework: estimation of PM2. 5 yearly average concentration across the contiguous United States
Geostatistical methods are widely used in estimating long-term exposures for
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
[PDF][PDF] The moving-window Bayesian Maximum Entropy framework: Estimation of PM2. 5 yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - J Expo Sci Environ Epidemiol, 2012 - researchgate.net
Geostatistical methods are widely used in estimating long-term exposures for air pollution
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
[HTML][HTML] The moving-window Bayesian Maximum Entropy framework: Estimation of PM2. 5 yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - Journal of exposure science & …, 2012 - ncbi.nlm.nih.gov
Geostatistical methods are widely used in estimating long-term exposures for air pollution
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
The moving-window Bayesian maximum entropy framework: estimation of [PM. sub. 2.5] yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - Journal of Exposure Science and …, 2012 - go.gale.com
Geostatistical methods are widely used in estimating long-term exposures for
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
The moving-window Bayesian maximum entropy framework: estimation of PM (2.5) yearly average concentration across the contiguous United States.
Y Akita, JC Chen, ML Serre - Journal of Exposure Science & …, 2012 - europepmc.org
Geostatistical methods are widely used in estimating long-term exposures for air pollution
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
The moving-window Bayesian maximum entropy framework: estimation of PM2. 5 yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - Journal of Exposure Analysis and …, 2012 - cdr.lib.unc.edu
Geostatistical methods are widely used in estimating long-term exposures for air pollution
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
epidemiological studies, despite their limited capabilities to handle spatial non-stationarity …
The moving-window Bayesian maximum entropy framework: estimation of PM2.5 yearly average concentration across the contiguous United States.
Y Akita, JC Chen, ML Serre - Journal of Exposure Science & …, 2012 - search.ebscohost.com
Geostatistical methods are widely used in estimating long-term exposures for
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
[PDF][PDF] The moving-window Bayesian maximum entropy framework: estimation of PM2. 5 yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - Journal of Exposure Science and …, 2012 - mserre.sph.unc.edu
Several epidemiological studies have demonstrated that longterm exposure to fine
particulate matter (PM2. 5) is associated with increased morbidity and mortality. 1, 2 In most …
particulate matter (PM2. 5) is associated with increased morbidity and mortality. 1, 2 In most …
The moving-window Bayesian maximum entropy framework: estimation of PM (2.5) yearly average concentration across the contiguous United States
Y Akita, JC Chen, ML Serre - Journal of Exposure Science & …, 2012 - hero.epa.gov
Geostatistical methods are widely used in estimating long-term exposures for
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
The moving-window Bayesian maximum entropy framework: estimation of PM2.5 yearly average concentration across the contiguous United States.
Y Akita, JC Chen, ML Serre - 2012 - cabidigitallibrary.org
Geostatistical methods are widely used in estimating long-term exposures for
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …
epidemiological studies on air pollution, despite their limited capabilities to handle spatial …