Unlocking the Power of Probability and Statistics for Symmetry

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Mathematics".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 316

Special Issue Editors


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Guest Editor
Department of Mathematics and Center of Mathematics, University of Beira Interior, 6200 Covilhã, Portugal
Interests: applied statistics; data science; probability theory; statistical inference; statistical modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Statistics, Federal University of Bahia, Salvador 40170-110, Brazil
Interests: statistical learning; time series forecasting; robust statistics; data science; applied statistics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In today’s highly data-driven world, the power of probability and statistics is becoming increasingly important in many areas of research. Symmetry has a strong affinity to probabilistic methods, as the study of symmetry allows us to identify and quantify patterns in data, and to make generalizations about the underlying mechanisms of nature.

This Special Issue seeks out innovative contributions from various disciplines related to probabilistic methods and their applications to the problems of symmetry. We welcome studies on theoretical developments and practical applications, as well as papers across a variety of topics, including, but not limited to, the following: artificial intelligence, atmospheric science, Bayesian statistics, bioinformatics, climate science, cognitive neuroscience, engineering, epidemiology, machine learning, mathematical physics, multivariate analysis, nonparametric statistics, operations research, probabilistic graphical models, quantitative finance, social sciences, statistical computing and simulation, statistical inference, stochastic modeling, survival analysis, and time series analysis.

We look forward to your submissions and to fostering further progress and understanding of the power of probability and statistics for symmetry.

Dr. Dário Ferreira
Prof. Dr. Paulo Canas Rodrigues
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • bioinformatics
  • machine learning
  • multivariate analysis
  • probability
  • statistics
  • stochastic modeling
  • symmetry

Published Papers

This special issue is now open for submission.
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