Andrew Gelman (born February 11, 1965) 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 University in 1990 under the supervision of Donald Rubin.
Gelman in 2012
|Alma mater||Harvard University|
Massachusetts Institute of Technology
|Doctoral advisor||Donald Rubin|
He has received the Outstanding Statistical Application award from the American Statistical Association three times. He is an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics.
Gelman is currently a professor of political science and statistics at Columbia University, where he also directs the Applied Statistics Center. The Applied Statistics Center conducts research with several other departments at Columbia University, as well as containing a number of individual projects. Gelman is a practitioner of Bayesian statistics, and hierarchical models.
He is a major contributor to the statistical programming framework Stan.
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 Washington Post blog dedicated to providing informed commentary on politics and making political science more accessible.
Gelman also keeps his own blog which deals with statistical practices in social science. He frequently writes about Bayesian statistics, displaying data, and interesting trends in social science. According to the New York Times, on the blog "he posts his thoughts on best statistical practices in the sciences, with a frequent emphasis on what he sees as the absurd and unscientific... He is respected enough that his posts are well read; he is cutting enough that many of his critiques are enjoyed with a strong sense of schadenfreude."
- 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 and 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.
- Andrew Gelman at the Mathematics Genealogy Project
- Kesselman, Ellie (10 September 2014). "Statistics comes to Swarthmore College". Retrieved 19 November 2016.
...familiar name on that very short list of all Harvard Statistics PhD alumni: Columbia University political science and statistics professor Andrew Gelman in 1990
- "Outstanding Statistical Application Award". American Statistical Association. Archived from the original on 8 April 2016.
- ASA Fellows: http://www.amstat.org/careers/fellowslist.cfm
- IMS Fellows: http://www.imstat.org/awards/honored_fellows.htm Archived 2014-03-02 at the Wayback Machine.
- "WEDDINGS; Caroline Rosenthal, Andrew Gelman". The New York Times. 2002-05-12. ISSN 0362-4331. Retrieved 2016-11-03.
- "The way science works…or doesn't". Life After Baby. Retrieved 2016-11-03.
- Galef, Julia; Gelman, Susan (December 13, 2015). "Susan Gelman on 'How essentialism shapes our thinking'". Rationally Speaking: Official Podcast of New York City Skeptics. Episode RS 149. Full transcript (PDF). Retrieved 2018-05-12.
- Gelman, Andrew (14 July 2006). "Uncle Woody". Statistical Modeling, Causal Inference, and Social Science. Retrieved 2018-07-05.
- Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University: http://www.stat.columbia.edu/~gelman/
- Applied Statistics Center: http://applied.stat.columbia.edu/
- 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
- Gelman, Andrew (2006). "Multilevel (hierarchical) modeling: what it can and cannot do" (PDF). Technometrics. 48 (3): 432–435. doi:10.1198/004017005000000661. Archived (PDF) from the original on 6 May 2006.
- "Monkey Cage". Washington Post. Retrieved 19 November 2016.
- The Monkey Cage: http://themonkeycage.org/2007/11/20/why_this_blog/
- Statistical Modeling, Causal Inference, and Social Science: http://andrewgelman.com/
- How Do I Make My Graphs?: http://andrewgelman.com/2013/03/15/how-do-i-make-my-graphs/
- Exponential Increase In The Number of Stat Majors: http://andrewgelman.com/2013/04/21/exponential-increase-in-the-number-of-stat-majors/
- Everyone’s trading bias for variance at some point, it’s just done at different places in the analyses: http://andrewgelman.com/2013/03/14/everyones-trading-bias-for-variance-at-some-point-its-just-done-at-different-places-in-the-analyses/
- Dominus, Susan (2017-10-18). "When the Revolution Came for Amy Cuddy". The New York Times. ISSN 0362-4331. Retrieved 2017-10-19.
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- Home page
- Statistical Modeling, Causal Inference, and Social Science. Andrew Gelman's research blog.