Bayesian Analysis
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; reviews, criticism, 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.
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!
- Latest Issue (full content)
- Forthcoming articles (titles and links to articles)
BA is Now indexed by Science Citation Index - Expanded (SCIE), including the Web of Science
In the 2010 Journal Citation Reports, Bayesian Analysis has an impact factor of 1.213 and a 5-year impact factor of 2.756 which ranks it 36th on Impact Factor, 10th on 5-year Impact Factor, and 9th on Article Influence Score out of 100 probability and statistics journals! The journal copyright policy allows the author to retain copyright while articles are published in an open access format.
Please consider submitting your next path breaking paper to BA! Some general stylistic recommendations are provided via the Submit or Resubmit web page where authors may also download the LaTeX templates for manuscript preparation. Bayesian Analysis is dedicated to prompt review and publication of manuscripts.
The Editor-in-Chief for 2013-2015 is Marina Vannucci; the Managing Editor for 2013-2015 is Kassie Fronczyk. See the Editorial Board for current editors and staff.
