Focus and Scope
This journal focuses on the development, application, and advancement of statistical and data-driven methods for addressing scientific, technological, and practical problems. The journal is primarily positioned within the fields of Mathematics and Computer Science, particularly Statistics, Statistical Computing, Data Science, and related computational disciplines. In accordance with the scientific classification of Statistics, Computer Science, and related fields, the journal promotes research that integrates statistical theory, quantitative methods, computational techniques, and data-driven approaches.
The journal welcomes original research articles, review articles, and case studies that contribute to the development or application of statistical methods, data analytics, and computational approaches. The scope covers both methodological and applied studies, including research that utilizes statistical and data-driven methods to address problems in health, environment, economics, education, social sciences, industry, and other relevant domains.
The journal welcomes original research, reviews, and case studies in, but not limited to, the following areas:
- Theoretical and applied statistics
- Statistical modeling, inference, and multivariate analysis
- Statistical computing, simulation, and optimization
- Data science, including data processing, exploratory data analysis, and data visualization
- Machine learning, data mining, and data-driven artificial intelligence
- Databases, information systems, and software engineering supporting data analytics
- Data-driven applications across diverse domains, including health, environment, economics, education, social sciences, industry, and other relevant fields
