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David L. Banks June 10, 2021 DAVID L. BANKS Department of Statistical Science Box 90251, Duke University, Durham, NC 27708-0251 phone: (919) 684-3743 fax: (919) 684-8594 email: [email protected] PERSONAL: Born: Baton Rouge, Louisiana Home Address: 9 Altmont Court Status: U.S. Citizen Durham, NC 27705 EDUCATION: 1979 - 1984 Virginia Polytechnic Institute and State University, Blacksburg, Virginia Statistics Ph.D., May 1984. Dissertation: Nonparametric Bayesian Inference Applied Mathematics M.S., June 1982. Statistics M.S., July 1980. 1973 - 1977 University of Virginia, Charlottesville, Virginia Majors: Anthropology, Mathematics. B.A. June, 1977 (cum laude). EMPLOYMENT: Jan. 2018 - present Director, Statistical and Applied Mathematical Sciences Institute Research Triangle Park, North Carolina July 2003 - present Professor of the Practice, Department of Statistical Science Duke University, Durham, North Carolina. Feb. 2002 - June 2003 Special Assistant to the Director of the Office of Biostatistics Center for Biologics Evaluation and Research U.S. Food and Drug Administration. June 1999 - Feb. 2002 Acting Chief Statistician/Director of the Office of Advanced Studies, Bureau of Transportation Statistics U.S. Department of Transportation. June 1997 - June 1999 Mathematical Statistician, Statistical Engineering Division National Institute of Standards and Technology. June 1993 - May 1997 Associate Professor, Department of Statistics Carnegie Mellon University. Aug. 1987 - May, 1993 Assistant Professor, Department of Statistics Carnegie Mellon University. Sept. 1986 - July 1987 Visiting Assistant Lecturer, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge. July 1984 - Aug. 1986 NSF Postdoctoral Research Fellow, Department of Statistics, University of California, Berkeley. 1 MONOGRAPHS: 1. Banks, D., Rios, J., and R´ıos Insua, D. (2015). Adversarial Risk Analysis. Taylor and Francis. Winner of the 2018 DeGroot Award. 2. Carriquiry, A., Banks, D., Brownell, P., Fienberg, S., Handcock, M., Hanson, G., Lesser, V., Orrenius, P., Passel, J., Riosmena, F., and Saucedo, S. (2013). Options for Estimating Illegal Entries at the U.S.-Mexico Border, National Academies Press, Washington, D.C. 3. Nair, V., Oster, C., Banks, D., Bell, R., Blair, J., Boderick, A., Dhaher, J., Griffiths, P., Johnstone, I., Kafadar, K., Lyall, E., Richardson, D., Sheridan, T., Spain, A., and Stokes, S. L. (2010). An Assessment of NASA’s National Aviation Operations Monitoring Service, National Academies Press, Washington, D.C. 4. Parnell, G., Banks, D., Borio, L., Brown, G., Cox, L. A., Gannon, J., Harvill, E., Kun- reuther, H., Morse, S., Pappaioanou, M., Pollack, S., Singpurwalla, N., and Wilson, A. (2008). Report on Methodological Improvements to the Department of Homeland Security’s Biological Agent Risk Analysis, National Academies Press, Washington, D.C. EDITED BOOKS: 1. Banks, D., Kafadar, K., Kaye, D., and Tackett, M. (2020). Handbook of Forensic Statistics, Taylor & Francis, Boca Raton, FL. 2. X. Lin, D. Banks, C. Genest, G. Molenberghs, D. Scott, and Wang, J.-L. (2013). Past, Present and Future of Statistical Science, Taylor & Francis, Boca Raton, FL. 3. D. Banks and E. P. Smith (2010). The Good Book: Thirty Years of Comments, Conjectures & Conclusions by I. J. Good, Vol. II. Rice University Press agreed to publish this, but then closed its doors. We recovered the copyright it is now published on-line by the American Statistical Association. 4. D. Banks and E. P. Smith (2008). The Good Book: Thirty Years of Comments, Conjectures & Conclusions by I. J. Good, Rice University Press, Houston, TX. 5. J. Asher, D. Banks, and F. Scheuren, eds. (2007). Statistical Methods for Human Rights, Springer, New York. 6. D. Banks, L. House, P. Arabie, F. R. McMorris, and W. Gaul, eds. (2004). Classification, Cluster Analysis, and Data Mining, Springer-Verlag, Berlin. 7. S. Kotz, C. Read, and D. Banks, eds. (1999). Encyclopedia of Statistical Sciences Update Volume 3, Wiley, New York. 8. S. Kotz, C. Read, and D. Banks, eds. (1998). Encyclopedia of Statistical Sciences Update Volume 2, Wiley, New York. 9. S. Kotz, C. Read, and D. Banks, eds. (1997). Encyclopedia of Statistical Sciences Update Volume 1, Wiley, New York. 2 REFEREED PAPERS: (bold font indicates students or post-doctoral advisees) 1. Banks, D., and Hooten, M. (2021). “Statistical Challenges in Agent-Based Models,” The American Statistician, to appear. 2. Au, T., Banks, D., and Guo, Y. (2021). “Numerical Solution of Asymmetric Auctions,” to appear in Decision Analysis. 3. Andews, E., Eierud, C., Banks, D., Harshbarger, T., Michael, A., and Rammell, C. (2021). “Effects of Lifelong Musicianship on White Matter Integrity and Cognitive Brain Reserve,” Brain Sciences, to appear. 4. Insua, D. R., Banks, D., Ros, J., and Gonz´alez-Ortega, J. (2021). “Adversarial Risk Analysis as a Decomposition Method for Structured Expert Judgement Modelling,” in Expert Judgement in Risk and Decision Analysis, edited by A. M. Hanea, Springer Nature, p. 179–196. 5. Babu, J., Banks, D., Cho, H., Han, D., Sang, H., and Wang, S. (2021). “A Statistician Teaches Deep Learning,” Journal of Statistical Theory and Practice, to appear. 6. Caballero, W., Rios Insua, D., and Banks, D. (2021). “Decision Support Issues in Auto- mated Driving Systems,” International Transactions in Operations Research, to appear. 7. Banks, D., Cron, A., and Raskind, A. (2020). “Bayesian Metrology in Metabolomics,” to appear in Chemometrics and Intelligent Laboratory Systems. 8. Banks, D., and Tackett, M. (2020). “Bayesian Methods and Forensic Inference,” in Hand- book of Forensic Statistics, Taylor & Francis, Boca Raton, FL. 9. Banks, D., Galego, V., Naveiro, R., and Rios Insua, D. (2020). “Adversarial Risk Analysis (Overview)”. To appear in WIRES Computational Statistics. 10. Hu, D., Cooper, A., Desai, N., Guo, S., Shi, S., and Banks, D. (2019). “A Cost- Benefit Analysis of Discretionary Wars,” Statistics and Public Policy, 6, 98–106 (as a discussion paper; rejoinder p. 122-123). 11. Lad, E. M., Sleiman, K., Banks, D., Hariharan, S., Clemons, T., Chew, E., and Toth, C. A. (2019). “Classification of Intermediate Age-Related Macular Degeneration by Short- Term Risk for Atrophy on Spectral Domain Optical Coherence Tomography,” Investigative Ophthalmology & Visual Science, 60, 2213–2213. 12. Chen, X., Banks, D., and West, M. (2019). “Bayesian Dynamic Modeling and Monitoring of Network Flows,” to appear in Network Science. 13. Amin, R., Bohnert, A., and Banks, D. (2019). “Patterns of Pediatric Cancers in Florida: 2000-2015. Statistics and Public Policy, 6, 24–35. 14. Henry, T., Banks, D., Owens-Oas, D., and Chai, C. (2019). “Monitoring Community Structure and Topics in Dynamic Text Networks,” Journal of Classification, 35, 1–28. 15. Glynn, C., Tokdar, S., Howard, B., and Banks, D. (2019). “Bayesian Analysis of Dynamic Linear Topic Models,” Bayesian Analysis, 14, 53–80. 3 16. Chen, X., Irie, K., Banks, D., West, M., Haslinger, R. and Thomas, J. (2018). “Scalable Bayesian Modeling, Monitoring and Analysis of Dynamic Network Flow Data,” Journal of the American Statistical Association, 113, 519–533. 17. Rios Insua, D., Gonzlez-Ortega, J., Banks, D., and Ros, J. (2018). “Concept Uncertainty in Adversarial Statistical Decision Theory.” In The Mathematics of the Uncertain, 527– 542, Springer, Cham. 18. Rios, J., R´ıos Insua, D., and Banks, D. (2016). “Modeling Opponents in Adversarial Risk Analysis,” Journal of Risk Analysis, 36, 742–755. 19. Heard, D., Dent, G., Schiffeling, T., and Banks, D. (2015). “Agent-Based Models and Microsimulation,” Annual Review of Statistics and Its Application, 2, 259–272. 20. Banks, D., and Norton, J. (2014). “Agent-Based Modeling and Associated Statistical Aspects,” International Encyclopedia of the Social and Behavioral Sciences, 2nd ed., 78–86, Oxford University Press. 21. Lum, K., Price, M., and Banks, D. (2013). “Applications of Multiple Systems Estima- tion in Human Rights Research,” The American Statistician 67, 191–200 (discussion and rejoinder on 201–206). 22. Soriano, J., Au, T., and Banks, D. (2013). “Text Mining in Computational Advertis- ing’,” Statistical Analysis and Data Mining, 6, 273–285. 23. Das, S., Yang, H., and Banks, D. (2013). “Synthetic Priors that Merge Opinion from Multiple Experts,” Statistics, Politics and Policy, 4, DOI: 10.1515/2151-7509.1060. 24. Banks, D., Datta, G., Karr, A., Lynch, J., Niemi, J., and Vera, F. (2012). “Bayesian CAR Models for Syndromic Surveillance on Multiple Data Streams: Theory and Practice,” Information Fusion, 13, 105–116. 25. Korman, A., Oh, A., Raskin, A., and Banks, D. (2012). “Statistical Methods in Metabolomics,” Evolutionary Genomics: Statistical and Computational Methods, M. Anisi- mova, ed., Springer, Berlin, pp. 381–414. 26. Zou, J., Karr, A., Banks, D., Heaton, M., Datta, G., Lynch, J., and Vera, F. (2012). “Bayesian Methodology for the Analysis of Spatio-Temporal Surveillance Data,” Statistical Analysis and Data Mining, 5, 194–204. 27. Vivar, J., and Banks, D. (2011). “Models for Networks: A Cross-Disciplinary Science,” Wiley Interdisciplinary Reviews: Computational Statistics, 4, 13–27. 28. Heaton, M., Zou, F., Banks, D., Datta, G., Karr, A., Lynch, J., and Vera, F. (2012). “A Spatio-Temporal Absorbing State Model for Disease and Syndromic Surveillance,” Statistics in Medicine, 31, 2123–2136. 29. Wang, S., and Banks, D. (2011). “Network Routing for Insurgency: An Adversarial Risk Analysis Framework,” Naval Research Logistics, 58, 595–607. 30. Banks, D. (2011) “Reproducible
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