Mathematical Statistics and Learning
Issues of this journal published between 1 January 2021 and 31 December 2025 are accessible as open access under our Subscribe to Open model.
Mathematical Statistics and Learning is devoted to research articles of the highest quality in all aspects of mathematical statistics and learning, including those studied in traditional areas of statistics and in machine learning as well as in theoretical computer science and signal processing.
The journal is indexed in zbMATH Open, and Mathematical Reviews, as well as in Scopus and DOAJ.
The journal is owned by the European Mathematical Society and it adheres to its Code of Practice and the publisher's Code of Conduct and Publishing Ethics.
Mathematical Statistics and Learning is published in one volume per annum, four issues per volume, approximately 300 pages.