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Methods for generating non-separable spatiotemporal covariance models with potential environmental applications

Advances in water resources, 2004-08, Vol.27 (8), p.815-830

2004

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Particulate air pollutants, APOE alleles and their contributions to cognitive impairment in older women and to amyloidogenesis in experimental models

Translational psychiatry, 2017-01, Vol.7 (1), p.e1022-e1022

2017

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Spatial analysis and mapping of sexually transmitted diseases to optimise intervention and prevention strategies

Sexually transmitted infections, 2004-08, Vol.80 (4), p.294-299

2004

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Modern geostatistics : computational BME analysis in the light of uncertain physical knowledge : The Equus Beds study

Stochastic environmental research and risk assessment, 1999-04, Vol.13 (1-2), p.1-26

1999

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An Application of the Holistochastic Human Exposure Methodology to Naturally Occurring Arsenic in Bangladesh Drinking Water

Risk analysis, 2003-06, Vol.23 (3), p.515-528

2003

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A BME solution of the inverse problem for saturated groundwater flow

Stochastic environmental research and risk assessment, 2003-12, Vol.17 (6), p.354-369

2003

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BME analysis of spatiotemporal particulate matter distributions in North Carolina

Atmospheric environment (1994), 2000, Vol.34 (20), p.3393-3406

2000

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Total ozone mapping by integrating databases from remote sensing instruments and empirical models

IEEE transactions on geoscience and remote sensing, 2004-05, Vol.42 (5), p.991-1008

2004

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Maximum likelihood Bayesian averaging of uncertain model predictions

Stochastic environmental research and risk assessment, 2003-11, Vol.17 (5), p.291-305

Neuman, S P

2003

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A new method (M 3 Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution

Geoscientific Model Development, 2019-03, Vol.12 (3), p.955-978

2019

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Computational Bayesian maximum entropy solution of a stochastic advection-reaction equation in the light of site-specific information

Water resources research, 2002-12, Vol.38 (12), p.54-1-54-17

2002

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BME representation of particulate matter distributions in the state of California on the basis of uncertain measurements

Journal of Geophysical Research, 2001-05, Vol.106 (D9), p.9717-9731

2001

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Examination of atmospheric ammonia levels near hog CAFOs, homes, and schools in Eastern North Carolina

Atmospheric environment (1994), 2007-07, Vol.41 (23), p.4977-4987

2007

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Spatiotemporal analysis of environmental exposure-health effect associations

Journal of Exposure Analysis and Environmental Epidemiology, 2000-03, Vol.10 (2), p.168-187

2000

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Use of passive samplers to measure atmospheric ammonia levels in a high-density industrial hog farm area of eastern North Carolina

Atmospheric environment (1994), 2007-09, Vol.41 (28), p.6074-6086

2007

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Efficient mapping of California mortality fields at different spatial scales

Journal of exposure analysis and environmental epidemiology, 2003-03, Vol.13 (2), p.120-133

2003

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Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey

Water research (Oxford), 2009-04, Vol.43 (7), p.1948-1958

2009

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Modeling the space/time distribution of particulate matter in Thailand and optimizing its monitoring network

Atmospheric environment (1994), 2007-11, Vol.41 (36), p.7788-7805

2007

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Conditioning mean steady state flow on hydraulic head and conductivity through geostatistical inversion

Stochastic environmental research and risk assessment, 2003-11, Vol.17 (5), p.329-338

2003

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Regional Estimates of Cardiovascular and Pulmonary Mortality Associations with Atmospheric Particulate Matter in Thailand

Epidemiology (Cambridge, Mass.), 2006-11, Vol.17 (Suppl), p.S268

2006

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Modeling a Syphilis Outbreak Through Space and Time Using the Bayesian Maximum Entropy Approach

Annals of epidemiology, 2006-11, Vol.16 (11), p.797-804

2006

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Un panel français: L’Étude longitudinale par Internet pour les sciences sociales (Elipss)

2021

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Ozone Exposure Assessment in North Carolina Using Bayesian Maximum Entropy Data Integration of Space Time Observations and Air Quality Model Prediction

Epidemiology (Cambridge, Mass.), 2006-11, Vol.17 (Suppl), p.S189

2006

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Stochastic conditional inverse modeling of subsurface mass transport: A brief review and the self-calibrating method

Stochastic environmental research and risk assessment, 2003-11, Vol.17 (5), p.319-328

2003

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Methods for generating non-separable spatiotemporal covariance models with potential environmental applications

Particulate air pollutants, APOE alleles and their contributions to cognitive impairment in older women and to amyloidogenesis in experimental models

Spatial analysis and mapping of sexually transmitted diseases to optimise intervention and prevention strategies

Modern geostatistics : computational BME analysis in the light of uncertain physical knowledge : The Equus Beds study

An Application of the Holistochastic Human Exposure Methodology to Naturally Occurring Arsenic in Bangladesh Drinking Water

A BME solution of the inverse problem for saturated groundwater flow

BME analysis of spatiotemporal particulate matter distributions in North Carolina

Total ozone mapping by integrating databases from remote sensing instruments and empirical models

Maximum likelihood Bayesian averaging of uncertain model predictions

A new method (M 3 Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution

Computational Bayesian maximum entropy solution of a stochastic advection-reaction equation in the light of site-specific information

BME representation of particulate matter distributions in the state of California on the basis of uncertain measurements

Examination of atmospheric ammonia levels near hog CAFOs, homes, and schools in Eastern North Carolina

Spatiotemporal analysis of environmental exposure-health effect associations

Use of passive samplers to measure atmospheric ammonia levels in a high-density industrial hog farm area of eastern North Carolina

Efficient mapping of California mortality fields at different spatial scales

Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey

Modeling the space/time distribution of particulate matter in Thailand and optimizing its monitoring network

Conditioning mean steady state flow on hydraulic head and conductivity through geostatistical inversion

Regional Estimates of Cardiovascular and Pulmonary Mortality Associations with Atmospheric Particulate Matter in Thailand

Modeling a Syphilis Outbreak Through Space and Time Using the Bayesian Maximum Entropy Approach

Un panel français: L’Étude longitudinale par Internet pour les sciences sociales (Elipss)

Ozone Exposure Assessment in North Carolina Using Bayesian Maximum Entropy Data Integration of Space Time Observations and Air Quality Model Prediction

Un panel français

Stochastic conditional inverse modeling of subsurface mass transport: A brief review and the self-calibrating method

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