Jacqueline Hughes-Oliver
Jacqueline Hughes-Oliver
Dr. Hughes-Oliver received her PhD from North Carolina State University in 1991. She has been a Professor of Statistics at both George Mason University and North Carolina State University.
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