Andrew Gelman's books

• 1995, 2003, 2013 "Bayesian Data Analysis," by Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin

• 2002, 2017 "Teaching Statistics: A Bag of Tricks," by Gelman and Nolan

• 2004 "Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives," edited by Gelman and Meng

• 2007 "Data Analysis Using Regression and Multilevel/Hierarchical Models," by Gelman and Hill

• 2008, 2009 "Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do," by Gelman, Park, Shor, and Cortina

• 2009 "A Quantitative Tour of the Social Sciences," edited by Gelman and Cortina

• 2011 "Handbook of Markov Chain Monte Carlo," edited by Brooks, Gelman, Jones, and Meng

• 2020 "Regression and Other Stories," by Gelman, Hill, and Vehtari

• 2023 "Recursion," by Gelman and Hullman

• 2024 "Active Statistics: Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference," by Gelman and Vehtari

• "Multilevel Regression and Poststratification: A Practical Guide and New Developments," edited by Kennedy, Alexander, and Gelman (in progress)

• "Bayesian Workflow," by Gelman, Vehtari, Simpson, Margossian, Carpenter, Yao, Kennedy, Gabry, Bürkner, Modrák, and Barajasi (in progress)

• "Advanced Regression and Multilevel Models," by Gelman, Hill, Goodrich, Gabry, and Vehtari (in progress)