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 discussion 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 will be 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.
BA now has a new home on Project Euclid! The new location will provide all of the back-issues, plus additional search facilities and reference linking!
BA is indexed by Science Citation Index - Expanded (SCIE), including the Web of Science
In the 2013 Journal Citation Reports of the ISI Web of Knowledge, the impact factor for Bayesian Analysis is 2.576 (increasing from 2.417 in 2012). This makes it the 7th highest impact factor in the list of 119 Stats and Probability journals. The journal copyright policy allows the author to retain copyright while articles are published in an open access format.
ISSN Print/Online: 1936-0975/1931-6690