Introduction

Epistora Journal of Mathematics and Statistics (EJMS) is a premier peer-reviewed, open access journal dedicated to advancing theoretical and applied research across the mathematical and statistical sciences. Established to bridge pure mathematical inquiry with practical statistical applications, EJMS serves as a global platform for mathematicians, statisticians, data scientists, and interdisciplinary researchers

The journal embraces the full spectrum of mathematical and statistical scholarship - from algebra, analysis, topology, and number theory to probability, biostatistics, econometrics, machine learning theory, and computational mathematics. With a rigorous double-blind peer review process and rapid publication workflow, we ensure that high-impact research reaches the global community without delay. All articles are published under the CC BY 4.0 license, enabling unrestricted access, reuse and maximum scholarly impact

Our commitment extends beyond traditional publishing. We actively promote interdisciplinary collaboration, reproducibility, and the integration of mathematical and statistical methods in emerging fields such as artificial intelligence, data science, and quantitative social sciences. By combining scholarly excellence with modern publishing innovations, EJMS is shaping the future of mathematical and statistical communication

Aim & Scope

Aim: To advance mathematical and statistical knowledge by publishing high-quality, rigorously peer-reviewed research across all domains of pure and applied mathematics and statistics. We aim to foster interdisciplinary dialogue, support early-career researchers and provide an inclusive open access home for transformative mathematical and statistical science

Scope: The journal welcomes original research articles, comprehensive reviews, short communications, technical notes, case studies and data papers covering, but not limited to:

Algebra and Number Theory Mathematical Analysis Topology and Geometry Differential Equations Probability Theory Mathematical Statistics Bayesian Statistics Biostatistics Econometrics Stochastic Processes Numerical Analysis Computational Mathematics Optimization and Control Operations Research Mathematical Modelling Applied Mathematics Financial Mathematics Actuarial Science Machine Learning Theory Data Science Statistical Computing Time Series Analysis Experimental Design Nonparametric Statistics Multivariate Analysis Survival Analysis Sampling Theory Statistical Inference Graph Theory Combinatorics Logic and Foundations Mathematical Physics Bioinformatics Quantum Computing Theory Information Theory Cryptography Game Theory Mathematical Economics Interdisciplinary Applications

Article Types

  • Original Research - Full-length reports of novel theoretical, applied, or computational contributions in mathematics and statistics. Up to 8,000 words with comprehensive proofs, data and methodology
  • Review Articles - Comprehensive surveys, systematic reviews and state-of-the-art analyses with future research directions. Up to 6,000 words
  • Short Communications - Urgent findings, concise proofs, preliminary results and time-sensitive contributions requiring rapid dissemination. Up to 2,500 words
  • Technical Notes - Methodological innovations, computational algorithms, numerical techniques and software developments
  • Case Studies - Applied mathematical and statistical investigations with practical implications for science, industry and society
  • Data Papers - Comprehensive description of high-quality mathematical or statistical datasets, including curated benchmark data and simulation outputs

Mission & Values

Advance mathematical and statistical knowledge through trusted open access. Core principles: scientific rigour, mathematical precision, constructive peer review, rapid decisions, global accessibility without financial barriers. Bridging pure and applied mathematics with contemporary challenges - data science, artificial intelligence, quantitative finance, and interdisciplinary research

Indexing & Archiving

Google Scholar Research Gate CrossRef DOI ISSN Academia R Discovery

Published content is maintained through structured digital preservation and accessibility practices designed to support long-term scholarly availability and continued research access