Data Analysis, Quantitative Data | Fred Feinberg | 2024
Generative AI Tutorials
Speaker: Fred Feinberg, Joseph Handleman Professor, Professor of Marketing, Stephen M Ross School of Business, and Professor of Statistics, College of Literature, Science, and the Arts
In this open-ended session, we will try to get ChatGPT, Claude, and other LLMs to generate code and graphics — both classically in R and Bayesianly in Stan — for some of the most common models run in the social and physical sciences, starting with standard regression and working our way up to various nonlinear models (e.g., GAMs, GPs), time-series / panels, and discrete choices (e.g., binary and multinomial logit). The emphasis will be on data exploration, generalizing code to relax assumptions underlying more computationally simple models, and locating bottlenecks in existing code.
For more information about the Generative AI Tutorials, please visit: https://midas.umich.edu/research/rese...
Link to materials: tinyurl.com/Midas2024FF
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