About the Journal

Computational Statistics and Data Science

Welcome to Computational Statistics and Data Science

The Computational Statistics and Data Science journal is a prestigious publication dedicated to advancing the field of computational statistics and data science through rigorous research, innovative methodologies, and practical applications. Our aim is to provide a comprehensive platform for scholars, researchers, practitioners, and students to share their latest findings and insights.

Open Access Policy

The Computational Statistics and Data Science journal embraces an open access model, making all published articles freely accessible online to readers worldwide. This policy fosters the dissemination of knowledge, enhances the visibility of research, and promotes collaboration among the global scientific community.

Focus and Scope

The journal focuses on a broad range of topics within computational statistics and data science, including but not limited to: statistical methodologies for data analysis, machine learning algorithms, big data analytics, data mining, predictive modeling, statistical computing, and applications in various fields such as healthcare, finance, engineering, and social sciences. We welcome submissions that present novel research, theoretical developments, empirical studies, and reviews.

Copyright Notice

All articles published in the Computational Statistics and Data Science journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows readers to share, copy, distribute, and adapt the work for any purpose, even commercially, provided that they attribute the work to the authors.

Sponsorship Disclosure

The Computational Statistics and Data Science journal is an independent publication and does not accept funding or sponsorships that could compromise its editorial independence. However, we acknowledge any institutional or grant support that has contributed to the development and publication of the journal.

History of the Journal

Established in [Year of Establishment], the Computational Statistics and Data Science journal has quickly become a leading voice in the field. Over the years, it has published numerous high-quality articles, facilitated academic exchanges, and contributed to the advancement of computational statistics and data science research.

Privacy Statement

The Computational Statistics and Data Science journal is committed to protecting the privacy of its readers, authors, and reviewers. We collect and use personal data solely for the purpose of managing the peer review process, publishing articles, and communicating with our community. We will never sell or share personal data with third parties for marketing purposes. For more information, please refer to our Privacy Policy.

Inclusion in LOCKSS and CLOCKSS Archival Systems

The Computational Statistics and Data Science journal is proud to be included in both the LOCKSS (Lots of Copies Keep Stuff Safe) and CLOCKSS (Controlled LOCKSS) archival systems. These systems ensure the long-term preservation and accessibility of our published content by creating redundant, distributed copies of the journal in multiple geographic locations. This ensures that our articles will remain available to future generations of scholars and researchers, contributing to the perpetual advancement of computational statistics and data science.

We invite you to explore the diverse and cutting-edge content of the Computational Statistics and Data Science journal and contribute to our ongoing efforts to advance the field.