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Bayesian Analysis (BA)

Publisher :

International Society for Bayesian Analysis

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Peer reviewed only
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Open Access
  • Mathematics
  • communication
  • Statistics

    • +1

e-ISSN :

1931-6690

Issue Frequency :

Quarterly

Impact Factor :

3.728

p-ISSN :

1936-0975

Est. Year :

2006

Mobile :

9196885134

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

michele.guindani@UCI.edu

Journal Descriptions

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.


Bayesian Analysis (BA) is :

International, Peer-Reviewed, Open Access, Refereed, Mathematics, communication, Statistics, Applied Mathematics , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 1936-0975, E-ISSN - 1931-6690, Established in - 2006, Impact Factor - 3.728

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ, PubMed

Not indexed in UGC CARE

Indexing

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Google Scholar
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