Stats

Stats is an international, peer-reviewed, open access journal on statistical science, published quarterly online by MDPI. The journal focuses on methodological and theoretical papers in statistics, probability, stochastic processes and innovative applications of statistics in all scientific disciplines including biological and biomedical sciences, medicine, business, economics and social sciences, physics, data science and engineering.
  • Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
  • High Visibility: indexed within ScopusESCI (Web of Science), RePEc, and other databases.
  • Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 14.5 days after submission; acceptance to publication is undertaken in 2.9 days (median values for papers published in this journal in the first half of 2022).
  • Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
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Special Issue in Stats
Feature Paper Special Issue: Quantitative Finance Guest Editors: Gareth W. Peters, Damien Challet, Hongsong Yuan, Paweł Polak, Min Shu
Deadline: 31 December 2022
Special Issue in Stats
Feature Paper Special Issue: Reinforcement Learning Guest Editors: Wei Zhu, Sourav Sen, Keli Xiao
Deadline: 1 January 2023
Special Issue in Stats
Machine Learning and Natural Language Processing (ML & NLP) Guest Editor: Stéphane Mussard
Deadline: 31 January 2023
Special Issue in Stats
Statistics, Analytics, and Inferences for Discrete Data Guest Editor: Dungang Liu
Deadline: 1 March 2023
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