Andrew Gelman

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Andrew Gelman is an American statistician, professor of statistics and political science, and director of the Applied Statistics Center at Columbia University. He earned an S.B. in mathematics and in physics from MIT in 1986 and a Ph.D. in statistics from Harvard in 1990 under the supervision of Donald Rubin.[1]

He has received the Outstanding Statistical Application award from the American Statistical Association three times.[2] He is an elected fellow of the American Statistical Association[3] and the Institute of Mathematical Statistics.[4] Gelman has an Erdos number 3.[5]

His sister is the psychologist Susan Gelman.


Andrew Gelman is currently a professor of political science and statistics at Columbia University, where he also directs the Applied Statistics Center.[6] The Applied Statistics Center conducts research with several other departments at Columbia University, as well as containing a number of individual projects.[7] Gelman is a practitioner of Bayesian statistics,[8] and hierarchical models.[9]

Gelman is notable for his efforts to make political science and statistics more accessible to journalists and to the public. He is one of the primary authors of The Monkey Cage, a blog dedicated to providing informed commentary on politics and making political science more accessible.[10] Gelman also keeps his own blog which deals with statistical practices in social science.[11] He frequently writes about Bayesian statistics, displaying data, and interesting trends in social science.[12][13][14]


  • Andrew Gelman, David Park, Boris Shor, and Jeronimo Cortina. "Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (2nd edition). Princeton University Press, 2009.
  • Andrew Gelman Jennifer Hill. "Data Analysis Using Regression and Multilevel/Hierarchical Models". Cambridge University Press, 2006. ISBN 978-0-521-68689-1
  • Andrew Gelman and Deborah Nolan. "Teaching Statistics: A Bag of Tricks". Oxford University Press, 2002. ISBN 978-0-19-857224-4
  • Andrew Gelman, John B. Carlin, Hal S. Stern, David Dunson, Aki Vehtari, and Donald B. Rubin. "Bayesian Data Analysis" (3rd edition). Chapman & Hall/CRC, 2013.


  1. ^ Andrew Gelman at the Mathematics Genealogy Project
  2. ^ ASA Outstanding Statistical Application Award:
  3. ^ ASA Fellows:
  4. ^ IMS Fellows:
  5. ^ AMS Collaboration Distance
  6. ^ Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University:
  7. ^ Applied Statistics Center:
  8. ^ Andrew Gelman, John B. Carlin, Hal S. Stern and Donald B. Rubin. "Bayesian Data Analysis" (2nd edition). Chapman & Hall/CRC, 2003. ISBN 978-1-58488-388-3
  9. ^ Gelman, Andrew (2006). "Multilevel (hierarchical) modeling: what it can and cannot do". Technometrics 48 (3). Archived from the original on 6 May 2006. 
  10. ^ The Monkey Cage:
  11. ^ Statistical Modeling, Causal Inference, and Social Science:
  12. ^ How Do I Make My Graphs?:
  13. ^ Exponential Increase In The Number of Stat Majors:
  14. ^ Everyone’s trading bias for variance at some point, it’s just done at different places in the analyses:

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