Jacqueline Hughes-Oliver
Jacqueline Hughes-Oliver
Dr. Hughes-Oliver received her PhD from North Carolina State University in 1991. She is Professor of Statistics at North Carolina State University and has also held faculty positions at George Mason University and University of Wisconsin, Madison.
Topics covered
From her CV, she lists the following areas of research and application:
Prediction and Classification, Data Mining, Variable Selection and Dimension Reduction, Design of Experiments, Group Testing, Spatial Modeling; Cheminformatics and Drug Discovery, Ontology-Guided Analysis, Point Source Modeling, Transportation Modeling
Relevant work
Shen, H., Welch, W.J., Hughes-Oliver, J.M. 2011. “Efficient, Adaptive Cross-Validation for Tuning and Comparing Models, with Application to Drug Discovery”. Annals of Applied Statistics. 5(4), 2668-2687. https://projecteuclid.org/journals/annals-of-applied-statistics/volume-5/issue-4/Efficient-adaptive-cross-validation-for-tuning-and-comparing-models-with/10.1214/11-AOAS491.full
Nail, A., Hughes-Oliver, J. & Monahan, J. “Quantifying Local Creation and Regional Transport Using a Hierarchical Space–Time Model of Ozone as a Function of Observed NOx, a Latent Space–Time VOC Process, Emissions, and Meteorology”. Journal of Agricultural, Biological, and Environmental Statistics volume 16, pages17–44 (2011). https://link.springer.com/article/10.1007/s13253-010-0028-4