Probability Surveys: Submissions

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Author Guidelines
Copyright Notice
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Online Submissions

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Author Guidelines

Submission

Prepare your manuscript as an Adobe PDF (Portable Document Format) document.

To simplify production later, consider using the standard LaTeX article class together with the imsart package, which allows us to capture the paper's metadata and pass it on to the PDF document's properties.

While typing, please keep all references to sections, bibliography, equations, tables, and figures linked. The links will appear as active in the published PDF.

Your contribution will be processed with the hyperref package, so please avoid using your own macros and packages that are not compatible with hyperref. The following packages are safe to use:

amsmath

amssymb with option psamsfonts

amsthm (theorems)

natbib (bibliography)

The template, sample and imsart.sty files can be found here. You will also find the BatchMRef tool there, which will help you to check and reformat – if needed – references. We recommend to use the acmtrans-ims bibliography style.

The preferred format of the graphics files is EPS.

The papers submitted to Probability Surveys are not being copy edited. It is, therefore, the author's responsibility to ensure that the paper is typed in a proper manner acceptable for publication.

Revision

In order to submit the revised version of a paper, the author must implement necessary corrections and upload the revised PDF (or ZIP file compressed with the responses to review) to the “Revised version” section.

Submission Preparation Checklist (All items required)

•

The submission has not been previously published nor is it before another journal for consideration.

OR

if the submission has been previously published, you have the right to submit it for possible republication in this journal (in which case, please provide details of the previous publication in the Comments to Editor section below.)

•

The submission file is in PDF format created from LaTeX source.

We strongly encourage all authors to post their papers at arXiv upon submission. This gives the statistics community instant access to your paper and also establishes priority for your ideas while the paper is being reviewed. Posting the paper at arXiv is standard practice in other fields such as math and physics and is becoming increasingly common in statistics. Instructions are at: http://arxiv.org/submit.

Copyright Notice

Probability Surveys has chosen to apply the Creative Commons Attribution License (CCAL) to all articles we publish in this journal (click here to read the full-text legal code). Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in Probability Surveys, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.

Summary of the Creative Commons Attribution License

You are free:

to copy, distribute, display, and perform the work
to make derivative works
to make commercial use of the work

under the following condition of Attribution: others must attribute the work if displayed on the web or stored in any electronic archive by making a link back to the website of the Journal via its Digital Object Identifier (DOI), or if published in other media by acknowledging prior publication in this Journal with a precise citation including the DOI. For any further reuse or distribution, the same terms apply. Any of these conditions can be waived by permission of The Corresponding Author.

We are using the same license as the Public Library of Science (PLoS).

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Probability Surveys. ISSN: 1549-5787