Probability Theory & Stochastic Processes

BRJMS publishes double-blind, peer-reviewed, high-quality research in Mathematics and Statistics, featuring advanced studies in pure and applied mathematics, statistical theory, data science, and interdisciplinary mathematical applications. Every article is published open access under a CC BY 4.0 license. You keep your copyright, and your work is free to read worldwide from the day it publishes, across multiple channels.

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About Probability Theory & Stochastic Processes

Probability Theory & Stochastic Processes is one of the subject areas published in the Boston Research Journal of Mathematics & Statistics. It covers the rigorous mathematical study of randomness, including probability distributions, limit theorems, Markov chains and diffusion processes, martingale theory, stochastic calculus and stochastic differential equations, random walks, branching processes, point processes, and interacting particle systems. The area also encompasses large deviations, extreme value theory, random matrix theory, percolation, queueing theory, and applications in finance, insurance, and reliability.

Authors working on theoretical foundations as well as those developing probabilistic tools for physics, biology, finance, or engineering will find this subject relevant. Readers include statisticians, mathematical physicists, actuaries, and operations researchers.

Objective

The objective of our journal is to produce peer-reviewed, authenticated research papers on various theoretical as well as applied disciplines of Probability Theory & Stochastic Processes prepared by scholars and researchers all across the world. Our journal does not just concern the field of Probability Theory & Stochastic Processes but also includes all the scopes that are mildly or completely related to these fields providing our authors a single platform for all their works.

Aim & About Journal

The Boston Research Journal of Mathematics & Statistics primarily focuses on statistics and mathematical research. The journal contains original and progressive research papers in these disciplines in order to provide knowledge. We aim to become a reference research publication. We publish and review original and authentic research papers as well as auxiliary materials such as case studies, technical reports, etc. by scholars and researchers all across the world. We welcome the submission of papers concerning any branch of science and mathematics and their application in education, industry, research, and other organizations.

Primary Subjects Under This Discipline

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Pure Mathematics

Exploration of fundamental mathematical concepts and structures, including algebra, analysis, geometry, topology, and number theory, for intrinsic understanding.

Probability Theory & Stochastic Processes

The study of randomness and uncertainty, encompassing the mathematical models for random events, variables, and dynamic systems evolving over time.

Discrete Mathematics & Combinatorics

Study of finite or countable mathematical structures such as graphs, networks, codes, and arrangements, with applications in computer science and operations research.

Applied Mathematics

Development and utilization of mathematical methods and models to solve problems in science, engineering, finance, industry, and other practical domains.

Statistical Theory & Methodology

Foundations and techniques for data collection, analysis, interpretation, and inference, including experimental design, hypothesis testing, and model estimation.

Computational Mathematics & Data Science

Application of computational techniques to mathematical problems and the extraction of knowledge from data, including numerical analysis, optimization, and statistical learning.

Mathematics & Statistics

General mathematical and statistical research spanning algebra, analysis, numerical methods and mathematical finance, including work that crosses the boundaries of the other subject areas.