Statistical Theory and Methods

This section welcomes contributions advancing the foundations of statistical science, including theoretical developments, novel methodologies, and computational innovations. Manuscripts may address estimation, inference, probability theory, sampling design, or the mathematical properties of statistical procedures. We encourage submissions that bridge classical statistics with modern computational challenges, as well as interdisciplinary manuscripts that develop methods for complex or emerging data structures. Reviews and methodological comparisons that clarify the scope and limitations of existing approaches are also welcome.