David L. Banks, Professor of the Practice
- Contact Info:
- 210A Old Chemistry Building, Duke University, Durham, NC
- david.banks@duke.edu
- Personal Web Page:
- http://www2.stat.duke.edu/~banks/
- Education:
- Ph.D., Virginia Polytech Institute and State University, 1984
- MS, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 1982
- M.S., Virginia Polytech Institute and State University, 1980
- B.A., University of Virginia, 1977
- Research Interests: Risk Analysis, Network Models, Metabolomics, And Data Mining
- STA 101L.001, Data Analy/Stat Infer
Synopsis
- Bio sci 111, MW 01:25 PM-02:40 PM
- STA 101L.01L, Data Analy/Stat Infer
Synopsis
- Perkins 087, F 08:30 AM-09:45 AM
- STA 101L.02L, Data Analy/Stat Infer
Synopsis
- Perkins 087, F 10:05 AM-11:20 AM
- STA 101L.03L, Data Analy/Stat Infer
Synopsis
- Perkins 087, F 11:45 AM-01:00 PM
- STA 101L.04L, Data Analy/Stat Infer
Synopsis
- Perkins 087, F 01:25 PM-02:40 PM
- STA 611.01, Intro To Mathematical Stat
Synopsis
- Old chem 001, MW 04:40 PM-05:55 PM
- Recent Publications
(More Publications)
- Mahmoudvand, R; Fiori Maccioni, A; Frigau, L; Banks, D. "Probability Distribution of Risk Priority Numbers in Failure Mode and Effects Analysis.." Risk Anal 45.12 (December, 2025): 4783-4795. [doi] [abs]
- LeBlanc, PM; Banks, D. "Time-Varying Bayesian Network Meta-Analysis.." Statistics in medicine 44.15-17 (July, 2025): e70160. [doi] [abs]
- Banks, D; Martínez-Ruiz, A; Muñoz, DF; Trejos-Zelaya, J. "Foreword to the Special Issue on Data Science in Business and Industry." Applied Stochastic Models in Business and Industry 41.3 (May, 2025). [doi]
- Banks, D; Li, Y. "Industrial Statistics in the Knowledge Economy." Applied Stochastic Models in Business and Industry 41.3 (May, 2025). [doi] [abs]
- Ruggeri, F; Banks, D; Cleveland, WS; Fisher, NI; Escobar-Anel, M; Giudici, P; Raffinetti, E; Hoerl, RW; Lin, DKJ; Kenett, RS; Li, WK; Yu, PLH; Poggi, JM; Reis, MS; Saporta, G; Secchi, P; Sen, R; Steland, A; Zhang, Z. "Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?." Applied Stochastic Models in Business and Industry 41.2 (March, 2025). [doi] [abs]
Teaching (Spring 2026):