Mathematical Statistics and Learning

Math. Stat. Learn. cover

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.

The journal follows a two-step single-blind peer review process.

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 single blind peer review process conducted by external reviewers selected by the editorial board.

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

  • download the file;

  • follow the instructions included in the ZIP file;

  • 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.