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1. statmodeling.stat.columbia.eduStatistical Modeling, Causal Inference, and Social Science

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   The key to making local tuning practical is randomization (aka uncertainty), which as Andrew Gelman likes to say, “greases the wheels of commerce.” I will conclude with a discussion of the opportunity this framework presents for adapting HMC’s step size and mass matrix.

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3. www.stat.columbia.edu › ~gelmanAndrew Gelman, Department of Statistics and Department of...

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   C.V. Andrew Gelman is a professor of statistics and political science at Columbia University. He 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 ...

4. en.wikipedia.org › wiki › Andrew_GelmanAndrew Gelman - Wikipedia

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   Andrew Eric Gelman (born February 11, 1965) is an American statistician and professor of statistics and political science at Columbia University. Gelman received bachelor of science degrees in mathematics and in physics from MIT, where he was a National Merit Scholar, in 1986.

5. scholar.google.com.sg › citations‪Andrew Gelman‬ - ‪Google Scholar‬

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   Scaling regression inputs by dividing by two standard deviations. A Gelman. Statistics in medicine 27 (15), 2865-2873. , 2008. 2521. 2008. Weak convergence and optimal scaling of random walk Metropolis algorithms. A Gelman, WR Gilks, GO Roberts. The annals of applied probability 7 (1), 110-120.

6. de.wikipedia.org › wiki › Andrew_GelmanAndrew Gelman – Wikipedia

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   Andrew Gelman ist Professor für Statistik und Politikwissenschaft und Direktor eines Forschungszentrums für angewandte Statistik an der Columbia University. Gelman hat sich in seiner Forschung mit Fragestellungen zu vielen unterschiedlichen Themengebieten beschäftigt, etwa zu Methoden in der Umfrageerhebung, zur Toxikologie und zu ...

7. statmodeling.substack.comThe Future of Statistical Modeling | Andrew Gelman | Substack

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   Click to read The Future of Statistical Modeling, by Andrew Gelman, a Substack publication with thousands of subscribers. Each week will give a list of the posts scheduled for the upcoming week at our blog, Statistical Modeling, Causal Inference, and Social Science, https://statmodeling.stat.columbia.edu.

8. datascience.columbia.edu › people › andrew-e-gelmanAndrew E. Gelman - The Data Science Institute at Columbia...

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   Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has written several books on Bayesian analysis, data analysis, and social science topics.