Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; critical reviews and discussions of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining.

Evaluation of submissions is based on importance of content and effectiveness of communication. Discussion papers are typically chosen by the Editor in Chief, or suggested by an Editor, among the regular submissions. In addition, the Journal encourages individual authors to submit manuscripts for consideration as discussion papers.

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A review of Bayesian variable selection methods: what, how and whichR. B. O'Hara and M. J. SillanpääVolume 4, Number 1 (2009)
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)Andrew GelmanVolume 1, Number 3 (2006)
Penalized regression, standard errors, and Bayesian lassosMinjung Kyung, Jeff Gill, Malay Ghosh, and George CasellaVolume 5, Number 2 (2010)
Posterior Consistency of Bayesian Quantile Regression Based on the Misspecified Asymmetric Laplace DensityKarthik Sriram, R.V. Ramamoorthi, and Pulak GhoshVolume 8, Number 2 (2013)
Two-sample Bayesian Nonparametric Hypothesis TestingChris C. Holmes, François Caron, Jim E. Griffin, and David A. StephensVolume 10, Number 2 (2015)
  • ISSN: 1936-0975 (print), 1931-6690 (electronic)
  • Publisher: International Society for Bayesian Analysis
  • Discipline(s): Statistics and Probability
  • Full text available in Euclid: 2006--
  • Access: Open access
  • Euclid URL: