Andrew Gelman

Andrew Gelman 2012

Andrew Gelman is an American statistician and political scientist. He is a professor of statistics and political science at Columbia University and a prominent figure in the field of Bayesian statistics.

Early Life and Education

Andrew Gelman was born on . He completed his undergraduate studies at MIT, where he earned a degree in mathematics in . He then pursued his graduate studies at Harvard University, where he received his Ph.D. in statistics in .

Career

After completing his Ph.D., Gelman joined the faculty at Columbia University, where he has been a professor since . He has made significant contributions to the fields of Bayesian statistics, hierarchical modeling, and causal inference. Gelman is also known for his work in political science, particularly in the areas of election forecasting and public opinion.

Research and Contributions

Gelman has authored and co-authored numerous books and articles on statistics and political science. Some of his notable works include:

• Bayesian Data Analysis - A comprehensive textbook on Bayesian methods.
• Data Analysis Using Regression and Multilevel/Hierarchical Models - A book that covers various statistical modeling techniques.
• Red State, Blue State, Rich State, Poor State - A book that explores voting patterns in the United States.

He is also a prolific blogger, writing about statistics, political science, and other topics on his blog, Statistical Modeling, Causal Inference, and Social Science.

Awards and Honors

Gelman has received several awards for his contributions to statistics and political science, including:

• The Outstanding Statistical Application Award from the American Statistical Association.
• The Gosnell Prize for Excellence in Political Methodology.

Personal Life

Andrew Gelman resides in New York City and continues to teach and conduct research at Columbia University.

See Also

• Bayesian statistics
• Hierarchical modeling
• Causal inference
• Election forecasting
• Public opinion