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.

Top downloads over the last seven days

Deep Learning: A Bayesian PerspectiveNicholas G. Polson and Vadim SokolovVolume 12, Number 4 (2017)
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)Andrew GelmanVolume 1, Number 3 (2006)
Constrained Bayesian Optimization with Noisy ExperimentsBenjamin Letham, Brian Karrer, Guilherme Ottoni, and Eytan BakshyAdvance publication (2018)
Flexible paleoclimate age-depth models using an autoregressive gamma processMaarten Blaauw and J. Andrés ChristenVolume 6, Number 3 (2011)
Using Stacking to Average Bayesian Predictive Distributions (with Discussion)Yuling Yao, Aki Vehtari, Daniel Simpson, and Andrew GelmanVolume 13, Number 3 (2018)
  • 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: https://projecteuclid.org/ba

Featured bibliometrics

MR Citation Database MCQ (2013): .22
JCR (2014) Impact Factor: 2.576
JCR (2014) Ranking: 7/119 (Statistics & Probability)
SCImago SJR (2013): 2.509
SCImago (2013) Ranking: 16/178 (Statistics & Probability)

Indexed/Abstracted in: ISI Science Citation Index Expanded, MathSciNet, Scopus, zbMATH