Scholar
Andrew Gelman
Google Scholar ID: SEOgduoAAAAJ
Professor of Statistics and Political Science, Columbia University
Citations & Impact
Citations
108,335
H-index
98
i10-index
282
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Received the Outstanding Statistical Application award three times from the American Statistical Association; awarded for the best article published in the American Political Science Review; Mitchell and DeGroot prizes from the International Society of Bayesian Analysis; Council of Presidents of Statistical Societies award; author or co-author of books such as Bayesian Data Analysis (with John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin), Teaching Statistics: A Bag of Tricks (with Deborah Nolan), Data Analysis Using Regression and Multilevel/Hierarchical Models (with Jennifer Hill), Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (with David Park, Boris Shor, and Jeronimo Cortina), A Quantitative Tour of the Social Sciences (co-edited with Jeronimo Cortina), and Regression and Other Stories (with Jennifer Hill and Aki Vehtari).
Research Experience
- Professor in the Department of Statistics and Department of Political Science at Columbia University; research spans applications of statistics to political science among other fields.
Background
- Professor of Statistics and Political Science at Columbia University. His research interests span a wide range of topics including the rationality of voting, variability in campaign polls, effects of incumbency and redistricting, reversals of death sentences, police stops in New York City, statistical challenges in estimating small effects, the probability that your vote will be decisive, seats and votes in Congress, social network structure, arsenic in Bangladesh, radon in basements, toxicology, medical imaging, and methods in surveys, experimental design, statistical inference, computation, and graphics.
Miscellany
- Maintains a personal blog; provides a handy statistical lexicon; public research software projects like Stan, blme, arm, and other miscellaneous research/teaching projects; has a lot of audio and video presentations and many old PowerPoint presentations available.
Co-authors