Computational Statistics with Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D1: Probability and Statistics".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 49
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, the growing complexity of data and the increasing demand for accurate, efficient, and scalable analysis methods have significantly elevated the importance of computational statistics, also known as statistical computing. This field lies at the intersection of statistical theory, numerical computation, and data-driven applications, enabling the extraction of meaningful insights from complex and high-dimensional datasets.
Computational statistics encompasses a wide range of computational techniques, including Monte Carlo methods, numerical optimization, Bayesian computation, machine learning, and high-performance statistical computing. These tools play a critical role in modern statistical analysis and are widely used in applications such as biostatistics, finance, environmental science, image and signal processing, social sciences, and engineering.
This Special Issue aims to bring together original research articles and comprehensive reviews that highlight recent advances in computational statistics and their practical applications.
Dr. Minwoo Kim
Guest Editor
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- statistical algorithms
- big data
- optimization
- bayesian computing
- machine learning
- artificial intelligence
- Monte Carlo methods
- computational statistics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
