International Society for Bayesian Analysis

The International Society for Bayesian Analysis is a professional society founded to promote the development and application of Bayesian analysis useful in the solution of theoretical and applied problems in science, industry and government. By sponsoring and organizing meetings, publishing the electronic journal Bayesian Analysis, the quarterly ISBA Bulletin and other activities ISBA provides a focal point for those interested in Bayesian analysis and its applications.

Publications

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Bayesian estimation of the basic reproduction number in stochastic epidemic models Damian Clancy and Philip D. O'Neill Bayesian Analysis, Volume 3, Number 4 (2008)
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) Andrew Gelman Bayesian Analysis, Volume 1, Number 3 (2006)
Dynamic Quantile Linear Models: A Bayesian Approach Kelly C. M. Gonçalves, Hélio S. Migon, and Leonardo S. Bastos Bayesian Analysis, Volume 15, Number 2 (2020)
Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects P. Richard Hahn, Jared S. Murray, and Carlos M. Carvalho Bayesian Analysis (2020)
Bayesian Cluster Analysis: Point Estimation and Credible Balls (with Discussion) Sara Wade and Zoubin Ghahramani Bayesian Analysis, Volume 13, Number 2 (2018)