David L. Banks
Professor of the Practice of Statistical Science
David Banks obtained an M.S. in Applied Mathematics from Virginia Tech in 1982, followed by a Ph.D. in Statistics in 1984. He won an NSF Postdoctoral Research Fellowship in the Mathematical Sciences, which he took at Berkeley. In 1986 he was a visiting assistant lecturer at the University of Cambridge, and then joined the Department of Statistics at Carnegie Mellon in 1987. In 1997 he went to the National Institute of Standards and Technology, then served as chief statistician of the U.S. Department of Transportation, and finally joined the U.S. Food and Drug Administration in 2002. In 2003, he returned to academics at Duke University.
David Banks was the coordinating editor of the Journal of the American Statistical Association. He co-founded the journal Statistics and Public Policy and served as its editor. He co-founded the American Statistical Association's Section on National Defense and Homeland Security, and has chaired that section, as well as the sections on Risk Analysis and on Statistical Learning and Data Mining. In 2003 he led a research program on Data Mining at the Statistical and Applied Mathematical Sciences Institute; in 2008, he led a research program at the Isaac Newton Institute on Theory and Methods for Complex, High-Dimensional Data; in 2012, he led another SAMSI research program, on Computational Advertising. He has published 74 refereed articles, edited eight books, and written four monographs.
David Banks is past-president of the Classification Society, and has twice served on the Board of Directors of the American Statistical Association. He is currently the president of the International Society for Business and Industrial Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He recently won the American Statistical Association's Founders Award.
His research areas include models for dynamic networks, dynamic text networks, adversarial risk analysis (i.e., Bayesian behavioral game theory), human rights statistics, agent-based models, forensics, and certain topics in high-dimensional data analysis.
13th ISBA World Meeting on Bayesian Statistics awarded by National Science Foundation (Principal Investigator). 2016 to 2017
LAS DO5: Information Theoretic Measures for Complex and Uncertain Data awarded by North Carolina State University (Co-Principal Investigator). 2015
Future States Processing Support awarded by North Carolina State University (Co-Principal Investigator). 2014 to 2015
RTI Research on Development of Drug Use Models awarded by Research Triangle Institute (Principal Investigator). 2013
Collaborative Research: Statistical Methods for Analyzing Complexity and Growth of Large Biological and Information Netw awarded by National Science Foundation (Principal Investigator). 2011 to 2013
Models for Network Evolution: A Study of Growth and Structure in the Wikipedia awarded by National Science Foundation (Principal Investigator). 2009 to 2011
Moral Mathematics: The Science of Human Rights awarded by Josiah Charles Trent Memorial Foundation (Principal Investigator). 2008
Student Travel Support for the Isaac Newton Institute Workshops on Statistical Methods for Complex, High-Dimensional Dat awarded by National Science Foundation (Principal Investigator). 2008
SCREMS: Distributed Environments for Stochastic Computation awarded by National Science Foundation (Co-Principal Investigator). 2004 to 2007
Collaborative Proposal: SGER: Social Measures of the Katrina Aftermath awarded by National Science Foundation (Principal Investigator). 2005 to 2006
Ríos Insua, D, González-Ortega, J, Banks, D, and Ríos, J. "Concept Uncertainty in Adversarial Statistical Decision Theory." Studies in Systems, Decision and Control. January 1, 2018. 527-542. Full Text
Rios Insua, D, Banks, D, and Rios, J. "Modeling Opponents in Adversarial Risk Analysis." Risk Analysis 36.4 (April 2016): 742-755. Full Text
Xie, X, and Meng, X-L. "Dissecting multiple imputation from a multi-phase inference perspective: what happens when God’s, imputer’s and analyst’s models are uncongenial?." Statistica Sinica (2016). Full Text
Banks, D. "Discussion of ‘(sfi) 2 Statistics for Innovation -The experience of the Oslo centre in industrial statistics’." Ed. R Kenett and G Shmueli. Applied Stochastic Models in Business and Industry 31.1 (January 2015): 94-95. Full Text
Lum, K, Price, ME, and Banks, D. "Applications of Multiple Systems Estimation in Human Rights Research." The American Statistician 67.4 (November 2013): 191-200. Full Text
Heaton, MJ, Banks, DL, Zou, J, Karr, AF, Datta, G, Lynch, J, and Vera, F. "A spatio-temporal absorbing state model for disease and syndromic surveillance." Stat Med 31.19 (August 30, 2012): 2123-2136. Full Text
Zou, J, Karr, AF, Banks, D, Heaton, MJ, Datta, G, Lynch, J, and Vera, F. "Bayesian methodology for the analysis of spatial-temporal surveillance data." Statistical Analysis and Data Mining 5.3 (2012): 194-204. Full Text