Statistical Methodology Research
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Researchers in statistical methodology integrate the principles of probability theory and statistical inference with statistical computing and data analysis to better explain and predict human behavior. This objective requires understanding and managing uncertainty in various areas of human endeavor, including economics, finance, political science, econometrics, and experimental economics. Models of particular interest in this field include treatment effect or causal models. The more important quantitative methods include regression, experimental design, and large-sample theory.
Affiliated Faculty
Upcoming Events
All Events
May 22, 2024
12:00 pm
Social Sciences Brown Bag Seminar
Peter P. Caradonna,
Assistant Professor of Economics,
Caltech,
May 28, 2024
4:00 pm
Ulric B. and Evelyn L. Bray Social Sciences Seminar
Sendhil Mullainathan,
Roman Family University Professor of Computation and Behavioral Science,
University of Chicago Booth,