Specialty journal

ANVA Foundations of Mathematics & Statistics

Mathematics and Statistics

Original theoretical, methodological, computational, and rigorously modelled work in mathematics and statistics.

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Journal Overview

The journal publishes work whose principal contribution is mathematical or statistical, from theory and proof to methodology, computation, and rigorous modelling.

Intended readership: Mathematicians, statisticians, probability researchers, quantitative methodologists, and rigorous modellers.

Aims & Scope

Mathematics coverage includes algebra, analysis, geometry, topology, number theory, combinatorics, discrete mathematics, differential equations, dynamical systems, optimization, numerical analysis, modelling, applied mathematics, and mathematically centered physics.

Statistics coverage includes probability, theory and inference, Bayesian and frequentist methods, regression, multivariate methods, time series, stochastic processes, experimental design, sampling, computational statistics, statistical learning, and uncertainty quantification.

Application papers must contribute new mathematical or statistical understanding, methodology, analysis, or theory; routine use of standard techniques is insufficient.

Subject Coverage

Use these areas to judge whether the manuscript’s central contribution belongs in this journal.

  • Algebra and number theory
  • Analysis, geometry, and topology
  • Combinatorics and discrete mathematics
  • Differential equations and dynamical systems
  • Optimization and numerical analysis
  • Mathematical modelling
  • Probability and stochastic processes
  • Statistical theory and inference
  • Bayesian and frequentist methods
  • Regression, multivariate methods, and time series
  • Experimental design and sampling
  • Computational statistics and uncertainty quantification

Methods & Approaches

Methods should suit the research question. These common approaches are illustrative, not artificial requirements.

  • Proof and theory
  • Method development
  • Exact and numerical computation
  • Simulation
  • Asymptotic and finite-sample analysis
  • Rigorous modelling
  • Reproducible statistical computation

Interdisciplinary interfaces

  • Mathematics with physical systems
  • Statistics with biological research
  • Optimization and engineering
  • Probability, computing, and data science

Scope Boundaries

Editors assess each manuscript as a whole. The following are generally outside scope unless a clear substantive contribution is established:

  • Routine application of standard statistics without methodological contribution
  • Numerical examples without a mathematical or modelling advance
  • Unsupported conjecture or informal exposition

Article Types

Availability is confirmed during submission and may vary. No universal length or item limits are implied.

Original Research Article

A complete original study with methods, evidence, limitations, and discipline-appropriate conclusions.

Review Article

A critical, structured synthesis that advances understanding of a defined topic.

Short Communication / Brief Report

A focused original contribution whose significance can be established concisely.

Methods / Methodology Article

A validated method, workflow, instrument, computational approach, or analytical advance.

Perspective / Commentary

Evidence-informed analysis of a significant development or direction; unsupported opinion is unsuitable.

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Current Issue

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All Issues / Archive

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Past volumes and issues will appear here as the archive grows.

For Authors

Confirm fit against the scope, topics, methods, and boundaries above. Then prepare complete files and declarations using the multidisciplinary guidance.

Editorial Information

Editorial information will be displayed as appointments are formally confirmed. Editors act independently on scope, peer review, integrity, and decisions; APC payment is separate from scholarly evaluation.

Journal Policies

This journal follows ANVA Journals’ single-blind peer-review, Gold Open Access, ethics, and scholarly-record policies unless an explicit journal-specific requirement is displayed.