Andrew
Gelman
Higgins Professor
Statistics, Political Science
Andrew Gelman has received the Outstanding Statistical Application award three times from the American Statistical Association, the award for best article published in the American Political Science Review, the Mitchell and DeGroot prizes from the International Society of Bayesian Analysis, and the Council of Presidents of Statistical Societies award. His books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, Data Analysis Using Regression and Multilevel/Hierarchical Models, Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do, A Quantitative Tour of the Social Sciences, and Regression and Other Stories.
Undergraduate Courses Taught
- Quantitative Political Research
- Quantitative Methods II: Applied Regress
- Principles of Quantitative Political Research 2
Publications
- Bayesian Data Analysis
- Teaching Statistics: A Bag of Tricks
- Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do
- A Quantitative Tour of the Social Sciences
- Regression and Other Stories