Online Submissions

Welcome to the online article submission system for Bayesian Analysis.

Submit a new manuscript for review

Thank you for considering Bayesian Analysis for your paper. To submit your manuscript, please follow these steps:

• Follow the Bayesian Analysis style guidelines, below.
• Prepare your manuscript as an Adobe PDF (Portable Document Format) document. To simplify production later, consider using LaTeX with the Bayesian Analysis style file.
• Submit your manuscript through the Electronic Journal Management System (EJMS) submission page.
• If you are submitting a paper for the Lindley Prize or another special issue, please mention this in the comments section when you submit your manuscript.
• If you are submitting a paper for consideration as a discussion paper please select "article with discussion" when submitting your manuscript. Your submission will first go through the regular review process and, if accepted, the Editor in charge and the Editor-in-Chief will make a decision as to whether the manuscript can make a good discussion paper.

Procedures for handling manuscripts

Submitted papers are screened by the Editor-in-Chief to identify those that are clearly not suitable for Bayesian Analysis. The criteria at this stage are interest to potential readers, novelty and originality.

If a paper passes the screening stage, it is assigned to an Editor who will handle the review process.

Based on reviews from referees and the Associate Editor, the Editor will make one of the following recommendations to the Editor-in-Chief:

• Accept. Some corrections or very minor revisions might be required prior to sending the final manuscript to the publisher, but it will not need to be seen again by the Editor.
• Minor revision. Revisions that entail no substantial work. The revised version may need to be checked by the Editor or AE before final acceptance can be recommended.
• Major revision. The points which need to be addressed are clearly indicated and it is likely that the author will be able to successfully implement all the required issues. The revised version will be typically sent back to the referees.
• Reject with resubmission. The paper contains interesting material but the contribution is either incomplete or contains major deficiencies. There is a clearly indicated path what would be required for resubmission. However, at this stage, it is unclear whether the authors will be successful in achieving the required results. If resubmitted, the paper might be treated as a new submission.
• Reject. The paper is rejected and, even if revised, will not normally be reconsidered.

The Editor-in-Chief will make the final decision and communicate that to the authors. If a paper is accepted it then goes forward to the production stage, which includes copy editing to correct linguistic errors.

Resubmit a manuscript for review

To resubmit or track an existing manuscript already submitted to Bayesian Analysis through EJMS, return to the EJMS submission page.

Submit an accepted manuscript for online publication

Once your manuscript has been accepted by the Editor in Chief and you have received a transmittal number from EJMS, follow these steps to prepare it for online publication:

• Prepare your accepted manuscript in LaTeX using the Bayesian Analysis style file.
• Submit your manuscript to the production editor via email at ejournals-ba@vtex.lt.
• Complete the article charge form at https://imstat.org/shop/publication-charge-funding-form/.

You should expect to receive the galley proofs of your paper about 1 to 2 weeks after the production editor has received the final version of your manuscript.

When this stage is complete, your final manuscript will appear on Project Euclid at https://projecteuclid.org/journals/bayesian-analysis/advance-publication and the Bayesian Analysis list of forthcoming papers. Your manuscript will be assigned page numbers and a volume/issue once the complete issue is assembled and uploaded on Project Euclid.

Publication Ethics

This Journal takes publication ethics very seriously. If misconduct is found or suspected after the manuscript is published, the journal will investigate the matter and this may result in the article subsequently being retracted. A copy of any important unpublished reference or any published or submitted proceedings version of the manuscript should be uploaded when submitting the paper. Papers submitted to Bayesian Analysis must neither have been published (even in shortened or modified form) nor be under consideration for publication elsewhere. Bayesian Analysis normally is not interested in publishing material that is closely related to results that have been presented in other publications, including conference proceedings, by one or more of the authors. 

In general, the Journal adheres to the policies adopted by Project Euclid, which can be found at 
https://projecteuclid.org/policies

Bayesian Analysis Style Guidelines

Overview

All papers submitted to Bayesian Analysis must have a title, a list of authors with their affiliations, an abstract, the body of the paper, and a list of cited references. For an example BA paper, see the file ba-sample.pdf.

An over-riding concern is to make effective use of the electronic medium. Papers should be split into two distinct parts: a main manuscript and supplementary material, as discussed below. Both pieces will be uploaded at the journal website. The main manuscript is expected not to exceed 25 pages, excluding references, using the BA Latex template, and should not contain any appendix. The supplementary material can be of any length. Keeping the main paper and the supplement distinct will allow someone to download the main manuscript without the supplementary material, while a serious student of the subject would want both.

Main manuscript

The main manuscript should be as succinct and readable as possible. Main manuscripts should contain those parts that authors believe to be essential for all readers. Authors should keep in mind that readership is likely to be increased when the main manuscript is kept short.

Supplementary material

The supplementary material can be any length (and in some cases may be unnecessary). The supplementary material may contain additional figures and tables, details about data, proofs, mathematical derivations, further explanations, additional simulations or other supporting material. The supplementary material should be placed in a separate document from the main manuscript.

We do not edit or typeset the supplemental material; it is posted as provided. Do not include cross-references in the paper to cite objects from the supplement. If there is a need to make a change during the proof stage, please be sure to correct the supplemental files and send the corrected version along with the changes for the paper. For each supplemental file, please provide a title and a brief description. Each supplemental file will be assigned an individual DOI by the typesetter. Please add a section titled “Supplementary Material” before the reference list. It is recommended that you use the journal template found at https://www.e-publications.org/isba/support/ which contains this section.

Depending on the nature of the material, if there are multiple files you may provide either a Zip file containing all files or individual files. The supplemental files should be cited in the text and an entry must be added to the reference list.

1. Cite the supplementary material in text

Add author(s) and year of publication.

EXAMPLE
Explicit formulas for these quantities are provided in Section 4 of the Supplementary Material (Smith (2019)).

Do not use \ref{} in the main paper to cite something in the supplement. Any direct citation of something in the supplement will result in (??) since the supplement is not typeset.

2. Add an entry to reference list

(author(s), year, Supplement to “Title of paper”. The DOI will be added by the typesetter.)

EXAMPLE
Smith, M. (2019). Supplement to “A Bayesian analysis of some nonparametric problems.” DOI: 10.1214/[provided by typesetter].

3. Provide a title and description for each supplemental file connected to the paper.

(A zip file counts as one file and should contain an overall description.) This section should be added prior to the reference list. Please see the template at https://www.e-publications.org/isba/support/. Note the DOI and link will be filled in during production.

EXAMPLE
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Supplementary Material, if any, should %%
%% be provided in {supplement} environment %%
%% with title and short description. %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{supplement}
%\stitle{Title of Supplement}
%\sdescription{Short description of Supplement}
%\end{supplement}

Figures

Figures should be used to help with exposition. Where possible, one or more figures should provide illustrations of main results. Figures should be integrated with the text rather than appearing at the end.

These figures may be split into multiple parts. The legends on these figures should have enough detail that someone can get an impression of what is being displayed just by looking at the figures.

Explanations of how to read figures should appear in the caption rather than in the main text. In most cases the captions should articulate the actual findings rather than simply identifying which figure is which. All relevant units should be identified, preferably on the axes (and color or gray scales). Extraneous axis labels and headings usually should be avoided unless they are large enough to be read easily and clear enough to be understood without effort. An often-preferable alternative is to explain the plots more fully in the caption. Authors are welcome to make use of clearly identifiable colors to enhance the quality of the figures.

Abstracts and titles

Authors should avoid the use of acronyms in titles. Abstracts should include a brief summary of the main research findings. The use of mathematical formulas should be avoided. Generic statements such as "an example is presented" should be avoided. Instead, minimal details about examples should be included, as in "we illustrate the benefit of our approach by analyzing data from a rocket science experiment to provide improved estimates of escape velocity".

Case studies

Bayesian Analysis welcomes the publication of case studies that highlight the use of sophisticated Bayesian methodology to tackle relevant applied problems. Case studies should highlight both the main results for the scientific, technological, or policy application and also the main points of interest to a statistician working in a different field. The latter are often appropriate for a concluding section.

Concluding summaries

Concluding summaries should be provided only in the context of giving additional perspective on the work.