Statistics Faculty Members Receives $150,000 National Science Foundation Grant
Victor De Oliveira, associate professor of management science and statistics, received a three-year $150,000 grant from the National Science Foundation. De Oliveira's research interests include Bayesian methods, environmental statistics and geostatistics.
The project is "Geostatistical Modeling of Spatial Discrete Data." The research consists of three parts. First, a class of hierarchical spatial models will be developed that seeks to ameliorate some limitations of the currently used models identified by the PI. The properties of these models and likelihood based methods to fit them will be studied. Second, a class of nonhierarchical spatial models will be developed that seeks to represent a wide range of spatial discrete data, not just counts, having association structures that are complementary to those in the class of hierarchical spatial models. The properties of these models and likelihood based methods to fit them will be studied. Third, a Bayesian method to perform goodness-of-fit for the aforementioned two classes of spatial models will be developed.
The statistical methodology developed in the course of this project would have immediate methodological and practical impacts on the earth and social sciences, where spatial data are routinely collected but models and methods for their analysis are scarce. The proposed classes of models will substantially increase the arsenal of tools available to spatial data analysts and the possibility of representing a wide range of behaviors for spatial discrete data.
Faculty Member Named Program Director at the National Science Foundation
Nandini Kannan, professor of management science and statistics, has been chosen to serve as the program director for the Statistics Program at the National Science Foundation for 2011-2013. She will be on leave from UTSA during this assignment.
A fellow of the American Statistical Association (ASA), Kannan has been a champion for the college's statistics programs through her administrative leadership, programmatic development and research accomplishments. She was instrumental in developing the college's Ph.D. program in applied statistics.
Kannan has an impressive research record and has published more than 30 publications in refereed journals. And, she collaborates with researchers in applying statistical theory and methodology to solving real world problems.
Her primary field of research is statistical signal processing, while other research interests include reliability and life-testing experiments and modeling decompression sickness using survival analysis.