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On the Stationary Distribution of Iterative Imputations
Jingchen Liu, Andrew Gelman, Jennifer Hill +1
Iterative imputation, in which variables are imputed one at a time each given a model predicting from all the others, is a popular technique that can be convenient and flexible, as…
"Not only defended but also applied": The perceived absurdity of Bayesian inference
Andrew Gelman, Christian P. Robert
The missionary zeal of many Bayesians of old has been matched, in the other direction, by a view among some theoreticians that Bayesian methods are absurd-not merely misguided but…
Philosophy and the practice of Bayesian statistics
Andrew Gelman, Cosma Rohilla Shalizi
A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and…
Causality and Statistical Learning
Andrew Gelman
We review some approaches and philosophies of causal inference coming from sociology, economics, computer science, cognitive science, and statistics