A flexible spatio-temporal model for air pollution with spatial and spatio-temporal covariates

Prospective Study of Particulate Air Pollution Exposures, Subclinical Atherosclerosis, and Clinical Cardiovascular Disease: The Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

(2012) J. D. Kaufman et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Spatio-temporal modeling of particulate matter concentration through the SPDE approach

(2012) Michela Cameletti et al.   AStA-Advances in Statistical Analysis

Comparing universal kriging and land-use regression for predicting concentrations of gaseous oxides of nitrogen (NOx) for the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

(2011) Laina D. Mercer et al.   ATMOSPHERIC ENVIRONMENT

Pragmatic estimation of a spatio-temporal air quality model with irregular monitoring data

(2011) Paul D. Sampson et al.   ATMOSPHERIC ENVIRONMENT

Efficient measurement error correction with spatially misaligned data

(2011) A. A. Szpiro et al.   BIOSTATISTICS

Predicting spatio-temporal random fields: Some computational aspects

(2011) S. De Iaco et al.   COMPUTERS & GEOSCIENCES

Does More Accurate Exposure Prediction Necessarily Improve Health Effect Estimates?

(2011) Adam A. Szpiro et al.   EPIDEMIOLOGY

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Confounding and exposure measurement error in air pollution epidemiology

(2011) Lianne Sheppard et al.   Air Quality Atmosphere and Health

Using temporal variability to improve spatial mapping with application to satellite data

(2010) Emily L. Kang et al.   CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

A Spatio-Temporal Downscaler for Output From Numerical Models

(2010) Veronica J. Berrocal et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators

(2010) Christopher J. Paciorek   STATISTICAL SCIENCE

Practical large-scale spatio-temporal modeling of particulate matter concentrations

(2009) Christopher J. Paciorek et al.   Annals of Applied Statistics

Chronic Fine and Coarse Particulate Exposure, Mortality, and Coronary Heart Disease in the Nurses’ Health Study

(2009) Robin C. Puett et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Approach to Estimating Participant Pollutant Exposures in the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air)

(2009) Martin A. Cohen et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Improving spatial concentration estimates for nitrogen oxides using a hybrid meteorological dispersion/land use regression model in Los Angeles, CA and Seattle, WA

(2009) Darren Wilton et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluation of the community multiscale air quality (CMAQ) model version 4.5: Sensitivities impacting model performance; Part II—particulate matter

(2008) K. Wyat Appel et al.   ATMOSPHERIC ENVIRONMENT

A review of land-use regression models to assess spatial variation of outdoor air pollution

(2008) Gerard Hoek et al.   ATMOSPHERIC ENVIRONMENT

Measurement error caused by spatial misalignment in environmental epidemiology

(2008) A. Gryparis et al.   BIOSTATISTICS

Gaussian predictive process models for large spatial data sets

(2008) Sudipto Banerjee et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modelling spatio-temporal variation in exposure to particulate matter: a two-stage approach

(2007) T. R. Fanshawe et al.   ENVIRONMETRICS