Brazilian Journal of Probability and Statistics

Aims & Scope

The Brazilian Journal of Probability and Statistics aims to publish high quality research papers in applied probability, applied statistics, computational statistics, mathematical statistics, probability theory and stochastic processes.

More specifically, the following types of contributions will be considered: (i) Original articles dealing with methodological developments, comparison of competing techniques or their computational aspects. (ii) Original articles developing theoretical results. (iii) Articles that contain novel applications of existing methodologies to practical problems.

For these papers the focus is in the importance and originality of the applied problem, as well as, applications of the best available methodologies to solve it. (iv) Survey articles containing a thorough coverage of topics of broad interest to probability and statistics.

The journal will occasionally publish book reviews, invited papers and essays on the teaching of statistics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.5

SJR (SCImago Journal Rank)

Year	Value
2024	0.251

Quartile

Year	Value
2024	Q4

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Additive models for quantile regression: Model selection and confidence bandaids

  Citation: 91

  Authors: Roger

• Gibbs measures and phase transitions on sparse random graphs

  Citation: 76

  Authors: Amir, Andrea

• The exponentiated Kumaraswamy distribution and its log-transform

  Citation: 62

  Authors: Artur J., Wagner, Gauss M.

• Log-symmetric distributions: Statistical properties and parameter estimation

  Citation: 45

  Authors: Luis Hernando, Gilberto A.

• The Burr XII power series distributions: A new compounding family

  Citation: 41

  Authors: Rodrigo B., Gauss M.

• Introduction to regularity structures

  Citation: 39

  Authors: Martin

• The beta power distribution

  Citation: 39

  Authors: Gauss, Rejane

• Limit theorems for empirical Fréchet means of independent and non-identically distributed manifold-valued random variables

  Citation: 38

  Authors: Wilfrid S., Huiling

• Bayesian heavy-tailed models and conflict resolution: A review

  Citation: 38

  Authors: Anthony, Luis

• The beta log-logistic distribution

  Citation: 37

  Authors: Artur J.

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