Mathematical Statistics and Learning
Submission of Manuscripts
We encourage submissions of the highest quality with an essential mathematical component. Clearly written papers with elegant and rigorous arguments are of high priority. In particular, the submission of excellent short papers is encouraged.
Papers that contain results previously published or accepted at conference proceedings will be considered if the submission is consistent with copyright agreements and has significant merit compared to the conference version.
Authors are requested to submit their papers electronically in PDF format, according to the instructions below, using the online submission form.
Papers to be considered for publication must be written in English.
Peer Review
Mathematical Statistics and Learning operates a two-step single-blind peer review process, conducted by external reviewers selected by the editorial board.
Editorial Office
For questions regarding the journal, please write to editorial@ems.press or at the address
EMS Press
Institut für Mathematik
Technische Universität Berlin
Straße des 17. Juni 136
10623 Berlin
Germany
Preparation of Manuscripts
We strongly encourage authors to make available LaTeX files for typesetting purposes. Upon final acceptance of papers, authors will be asked to submit all source files and macros together with a PDF file.
Once an article has been accepted for publication, authors are kindly asked to
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download the file ems-journals-template.zip;
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follow the typesetting instructions, also included in the ZIP file;
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submit their article in well-structured LaTeX using the template and the style file contained in the ZIP file.
Authors will receive a set of galley proofs of their article for final corrections, and they will be entitled to an electronic copy of the published article.
Open Access
Mathematical Statistics and Learning is a Subscribe to Open (S2O) journal, which means that articles may be published open access. There are no author fees or article processing charges associated with this mode of open access. Open access articles are published under the CC-BY 4.0 license. Authors may review our Terms of Digital Access for further information regarding licenses and repository deposits.