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Catherine A. Calder
Assistant Professor; Ph.D., Duke University, 2003. My primary research interests are in spatial and spatio-temporal statistics, especially dimension reduction and multivariate methods in both of these areas, and in Bayesian methods and computation. Currently, one of my key research areas is the development of methods for analyzing categorical spatial and space-time data. In addition, I am working with Dr. Noel Cressie (Statistics) and Ph.D. student Hongfei Li (Statistics) on model-based methods for testing for spatial dependence in processes on a lattice and with Dr. Ningchuan Xiao (Geography) on projects related to the visualization of uncertainty in spatial information. I am also involved in several collaborative projects that use Bayesian hierarchical modeling in the following areas of application: (1) exploring the pathways linking concentrations of pollutants in environmental media to concentrations in human biomarkers, with Drs. Peter Craigmile (Statistics), Noel Cressie (Statistics), and Tom Santner (Statistics), and several researchers from Battelle; determining the impact of segregation on the spatial patterning of crime across major U.S. cities, with Drs. Chris Browning (Sociology), Laurie Krivo (Sociology), Mei-Po Kwan (Geography), Ruth Peterson (Sociology); and assessing the impact of fire on the atmospheric concentration of black carbon aerosols in Southeast Asia, with Drs. Darla Munroe (Geography), Tao Shi (Statistics), and Ningchuan Xiao (Geography). |
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