Veronica J. Berrocal is an Assistant Professor of Biostatistics. She received her Ph.D. in Statistics from the University of Washington in 2007. In 2008, Veronica was a National Research Council (NRC) Postdoctoral Associate at the US Environmental Protection Agency developing new approaches to spatially model and predict air pollution. In 2009, she joined the Department of Statistical Sciences at Duke University as a Postdoctoral fellow. In the same year she started collaborating with researchers at the Children's Environmental Health Initiative (CEHI) to develop statistical methods to characterize and relate maternal personal exposure and birth outcomes. In 2010, she was a Postdoctoral Associate at the Statistical and Applied Mathematical Sciences Institute (SAMSI) while still being affiliated with the Department of Statistical Sciences at Duke University.
BIOSTAT682: Applied Bayesian Inference
BIOSTAT696: Spatial Statistics
BIOSTAT896: Spatial Statistics
Ph.D. , Statistics, University of Washington, 2007
M.Sc. , Statistics, Michigan State University, 2002
Research Interests & Projects
Veronica's main research interests are in: spatial, spatio-temporal, Bayesian and environmental statistics, as well as developing statistical methods to characterize environmental exposure and its relationship with health outcomes.
Search PubMed for publications by Veronica Berrocal >>
Berrocal, VJ, Gelfand, AE, and Holland, DM. (2010). A bivariate space-time downscaler under space and time misalignment. Annals of Applied Statistics, In press.
Berrocal, VJ, Gelfand, AE, Holland, DM, Burke, J, and Miranda, ML (2010). On the use of a PM_2.5 simulator to explain birthweight. Environmetrics, In press
Berrocal, VJ, Raftery AE, Gneiting, T, and Steed, R. (2010). Probabilistic weather forecasting for winter road maintenance. Journal of the American Statistical Association, 105, 522-537..
Berrocal, VJ, Raftery AE, and Gneiting, T. (2008). Probabilistic quantitative precipitation field forecasting using a two-stage spatial model. Annals of Applied Statistics, 2, 1170-1193..