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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
1 de 10
Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
2 de 10
Statistical Methods for Spatial Data in Public Health
3 de 10
Improved Algorithm for Independent Component Analysis (ICA) with the Relax and Split Approximation
4 de 10
Enteric pathogen exposure and child health in low-income settings
5 de 10
On estimating the spatial distribution of Yersinia pestis in the United States using a wide-ranging sentinel species and spatial statistics with sampling considerations
6 de 10
Enteropathogen infections in areas with poor access to water, sanitation, and hygiene: environmental drivers, co-infections, and potential interventions
7 de 10
Associations between race, socioeconomic status and non-fatalinjuries in Atlanta between 2001-2004
8 de 10
Estimating acute cardiorespiratory effects of ambient air pollution
mixtures
9 de 10
Understanding and Modeling the Uncertainty in the American
Community Survey: Detecting the Spatial Correlation in Uncertainty
at the County Level with Conditional Autoregressive Models
10 de 10