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Mathematical Statistics and Learning (MSL) is a scholarly journal dedicated to publishing research in the field of Mathematics, and Published by European Mathematical Society Publishing House. The Print-ISSN of Mathematical Statistics and Learning is 25202316
Mathematical Statistics and Learning is published by European Mathematical Society Publishing House, based in Germany, publishing since 2021. It covers research in Mathematics, Computer Science.
Topics covered include mathematical statistics, machine learning, theoretical computer science, signal processing.
The journal is indexed in Scopus, DOAJ; it uses a anonymous peer review process.
For full aims and scope, see the journal's official page.
| Journal title | Mathematical Statistics and Learning (MSL) |
| Print ISSN | 25202316 |
| Online ISSN | 25202324 |
| Publisher Name | European Mathematical Society Publishing House |
| Subject Category | Mathematics |
| Access type | 🟢 Open Access |
| Status | 🟢 Active |
In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.
Below are the metrics and rankings for the journal Mathematical Statistics and Learning
Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars
If you would like to submit a manuscript or visit the journal's website, please click on the link below.
| Journal Submission | 🔗 Journal Website |
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