Discussion Article Exploratory Data Analysis for Complex Models Andrew GELMAN “Exploratory” and “confirmatory” data analysis can both be viewed as methods for

Source URL: www.stat.columbia.edu

Are Infovis and Statistical Graphics Really All That Different? A response by Stephen Few of Perceptual Edge to the article “Infovis and Statistical Graphics: Different Goals, Different Looks” by Andrew Gelman and An

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Philosophy and the practice of Bayesian statistics Andrew Gelman Department of Statistics and Department of Political Science, Columbia University Cosma Rohilla Shalizi Statistics Department, Carnegie Mellon University

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Political Analysis:40–41 doi:pan/mps032 Preregistration of Studies and Mock Reports Andrew Gelman Departments of Statistics and Political Science, Columbia University,

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Poststratication Into Many Categories Using Hierarchical Logistic Regression Andrew Gelman, Department of Statistics, Columbia University, New York, NYThomas C. Little, Morgan Stanley Dean Witter, New York, NY S

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RMM Vol. 2, 2011, 67–78 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Andrew Gelman

Source URL: www.rmm-journal.com

RMM Vol. 2, 2011, 67–78 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Andrew Gelman

Source URL: www.rmm-journal.com

Bayesian Analysis, Number 3, pp. 445–450 Objections to Bayesian statistics Andrew Gelman∗

Source URL: www.rgtinfohub.org.uk

Appears as Chapter 5 of the Handbook of Markov Chain Monte Carlo Edited by Steve Brooks, Andrew Gelman, Galin Jones, and Xiao-Li Meng arXiv:1206.1901v1 [stat.CO] 9 JunChapman & Hall / CRC Press, 2011

Source URL: arxiv.org

• Physics
• Hamiltonian mechanics
• Chemistry
• Theoretical physics
• Dynamical systems
• Classical mechanics
• Quantum mechanics
• Quantum chemistry
• Hamiltonian
• Limit of a function
• Hamiltonian system
• Analytical mechanics

Bayesian Analysis, Number 3, pp. 445–450 Objections to Bayesian statistics Andrew Gelman∗

Source URL: rgtinfohub.org.uk