Clintin P. Davis-Stober
I study how individuals make risky choices and whether they do so in consistent, predictable ways that reveal their motivations and goals. My lab uses the language of mathematics and statistical modeling to make these concepts precise and testable. In collaboration with other labs, I seek to better understand decision making across many experimental and observational settings, with a particular focus on risky decisions involving alcohol and addictions. In tandem with our empirical investigations, my lab develops and applies advanced quantitative methods to make sound statistical inferences and predictions. This scope of work includes Bayesian cognitive modeling, order-constrained statistical inference, network modeling, and machine learning. The lab has received funding from the National Institutes for Health and the National Science Foundation. I support transparency in science by making data, code, and related materials publicly available on established file sharing websites.
Dr. Clintin Davis-Stober is a Professor of Psychological Sciences and a core faculty member of the MU Institute for Data Science and Informatics at the University of Missouri. He holds a Ph.D. in Quantitative Psychology and an M.S. in Mathematics from the University of Illinois at Urbana-Champaign.
- William K. Estes Early Career Award, Society for Mathematical Psychology
- Provost Outstanding Junior Faculty Research and Creative Activity Award, University of Missouri
- Co-recipient of the Exeter Prize, University of Exeter
- R. Duncan Luce best paper award, Journal of Mathematical Psychology
- Clifford T. Morgan best paper award, Psychonomic Society
- Distinguished Dissertation Award, American Psychological Association (APA) Division 5: Evaluation, Measurement and Statistics
- Associate Editor, British Journal of Mathematical and Statistical Psychology
- Associate Editor, Journal of Mathematical Psychology
- Consulting Editor, Psychological Review
- Consulting Editor, Judgment and Decision Making
- Consulting Editor, Decision
See my personal website for a complete list of publications: www.davis-stober.com
McCarthy, D. M., McCarty, K. N., Hatz, L., Prestigiacomo, C. J., Park, S., & Davis-Stober, C. P. (2021). Applying Bayesian cognitive models to decisions to drive after drinking. Addiction, 116, 1424-1430.
Kellen, D., Davis-Stober, C. P., Dunn, J. C., & Kalish, M. L. (2021). The problem of coordination and the pursuit of structural constraints in psychology. Perspectives on Psychological Science, 16, 767-778.
Hatz, L., Park, S., McCarty, K. N., McCarthy, D. M., & Davis-Stober, C. P. (2020). Young adults make rational sexual decisions. Psychological Science, 31, 944-956.
Davis-Stober, C. P., & Regenwetter, M. (2019). The 'paradox' of converging evidence. Psychological Review, 126, 865-879.
Davis-Stober, C. P., Park, S., Brown, N., & Regenwetter, M. (2016). Reported violations of rationality may be aggregation artifacts. Proceedings of the National Academy of Sciences of the United States of America, 113, E4761-E4763.
Davis-Stober, C. P., Budescu, D. V., Dana, J., & Broomell, S. B. (2015). The composition of optimally wise crowds. Decision Analysis, 12, 130-143.
Davis-Stober, C. P., Budescu, D. V., Dana, J., & Broomell, S. B. (2014). When is a crowd wise? Decision, 1, 79-101.
Davis-Stober, C. P. (2012). A lexicographic semiorder polytope and probabilistic representations of choice. Journal of Mathematical Psychology, 56, 86-94.
Regenwetter, M., & Davis-Stober, C. P. (2012). Choice variability versus structural inconsistency of preferences. Psychological Review, 119, 408-416.
Davis-Stober, C. P. (2011). A geometric analysis of when fixed weighting schemes will outperform ordinary least squares. Psychometrika, 76, 650-669.
Regenwetter, M., Dana, J., & Davis-Stober, C. P. (2011). Transitivity of preferences. Psychological Review, 118, 42-56.
Davis-Stober, C. P., Dana, J., & Budescu, D. V. (2010). A constrained linear estimator for multiple regression. Psychometrika, 75, 521-541.
Davis-Stober, C. P. (2009). Multinomial models under linear inequality constraints: Applications to measurement theory. Journal of Mathematical Psychology, 53, 1-13.