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.


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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 estimation of the basic reproduction number in stochastic epidemic models Damian Clancy and Philip D. O'Neill Bayesian Analysis, Volume 3, Number 4 (2008)
Estimating the Use of Public Lands: Integrated Modeling of Open Populations with Convolution Likelihood Ecological Abundance Regression Lutz F. Gruber, Erica F. Stuber, Lyndsie S. Wszola, and Joseph J. Fontaine Bayesian Analysis, Volume 14, Number 4 (2019)
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham, Brian Karrer, Guilherme Ottoni, and Eytan Bakshy Bayesian Analysis, Volume 14, Number 2 (2019)
Prior Distributions for Objective Bayesian Analysis Guido Consonni, Dimitris Fouskakis, Brunero Liseo, and Ioannis Ntzoufras Bayesian Analysis, Volume 13, Number 2 (2018)