About the Journal: Aims and Scope

Journal of Applied Mathematical and Statistical Computing is an open-access international, peer-reviewed scholarly journal dedicated to the dissemination of high-quality, original research in applied mathematics, statistical science, and computational methodologies. The journal aims to advance the development of rigorous theoretical frameworks, innovative methodologies, and reproducible computational approaches, addressing complex problems across scientific, engineering, and technological disciplines. The journal maintains a balanced focus on mathematical analysis and statistical theory, while promoting their integration with modern computational techniques and data-driven methodologies. It seeks to provide a platform for contributions that demonstrate scientific originality, methodological rigor, and clear relevance to contemporary research challenges.

Submissions are invited in, but not limited to, the following areas:

● Real and harmonic analysis

● Complex analysis

● Functional analysis and operator theory

● Partial differential equations

● Dynamical systems

● Calculus of variations

● Approximation theory

● Analytic number theory

● Combinatorics

● Control theory and optimization

● Numerical analysis and scientific computing

● Mathematical physics and mathematical biology

● Statistical theory, including asymptotics, inference, and foundational frameworks

● Probability theory and stochastic processes

● Statistical modeling, estimation, and hypothesis testing

● Development and theoretical analysis of statistical methodologies

● Computational statistics and algorithms for statistical inference

● High-dimensional and modern statistical methods

● Machine learning with statistical foundations

● Big data analytics and scalable statistical techniques

● Experimental design and survey methodology

● Statistical applications in environmental, health, and social sciences

● Interdisciplinary applications in economics, engineering, and technology

The journal particularly welcomes contributions that:

● Present original theoretical or methodological advances in mathematics or statistics

● Demonstrate rigorous validation, reproducibility, and computational transparency

● Bridge theory and application, particularly in data-intensive and computational settings

● Contribute to interdisciplinary research with clear scientific impact

In addition to original research articles, the journal may consider review articles of exceptional quality, provided they offer significant synthesis and critical insight into emerging areas of research.

All submissions undergo a rigorous, double-blind peer-review process conducted by experts in the relevant fields. The journal adheres to international standards of