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 ESCI (Web of Science), ScopusRePEc, and other databases.
  • Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 13.7 days after submission; acceptance to publication is undertaken in 2.8 days (median values for papers published in this journal in the first half of 2023).
  • 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.
Impact Factor: 1.3 (2022); 5-Year Impact Factor: 1.2 (2022)
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Topic in Entropy, Mathematics, Modelling, Stats
Interfacing Statistics, Machine Learning and Data Science from a Probabilistic Modelling Viewpoint Topic Editors: Jürgen Pilz, Noelle I. Samia, Dirk Husmeier
Deadline: 31 December 2024
Special Issue in Stats
Statistics, Analytics, and Inferences for Discrete Data Guest Editor: Dungang Liu
Deadline: 30 November 2023
Special Issue in Stats
Advances in State-Space Modeling of Time Series Guest Editors: Marco André da Silva Costa, Magda Sofia Valério Monteiro
Deadline: 31 December 2023
Special Issue in Stats
Statistical Learning for High-Dimensional Data Guest Editor: Paulo Canas Rodrigues
Deadline: 31 January 2024
Special Issue in Stats
Statistical Developments and Applications in Rare Disease Diagnostic Testing and Classification Guest Editor: Kabir Jalal
Deadline: 29 February 2024
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