About the Journal

The Contemporary Journal of Statistics and Applied Mathematics is an international, peer-reviewed, open-access journal dedicated to the advancement and dissemination of research in the fields of statistics, applied mathematics, and their interdisciplinary applications. This journal publishes high-quality research articles that tackle both theoretical and practical aspects of statistics and applied mathematics, with a particular emphasis on novel methodologies, algorithms, and their applications in solving real-world problems across various domains.

The scope of the Contemporary Journal of Statistics and Applied Mathematics includes, but is not limited to:

• Statistical Methods and Theory: Advanced statistical techniques, Bayesian analysis, statistical inference, regression analysis, time series analysis, multivariate statistics, etc.
• Applied Mathematics: Mathematical modeling, numerical analysis, optimization techniques, differential equations, mathematical finance, and operations research.
• Data Science and Machine Learning: Statistical machine learning, predictive modeling, data mining, artificial intelligence, and deep learning algorithms.
• Computational Statistics: Monte Carlo methods, Markov Chain Monte Carlo (MCMC), computational techniques, and their applications.
• Quantitative Analysis: Risk assessment, actuarial science, statistical quality control, and the application of mathematical techniques in economics, business, engineering, and other scientific fields.

The Contemporary Journal of Statistics and Applied Mathematics aims to foster academic collaboration and innovation by providing a platform for researchers, practitioners, and educators to publish their findings and contribute to the development of statistical and mathematical sciences. The journal encourages both theoretical papers that advance mathematical concepts and applied research that utilizes these concepts to address real-world challenges.

The journal is published continuously, ensuring that accepted manuscripts are made available to the public promptly upon completion of the peer-review process. Authors are encouraged to submit original research that has not been previously published or under consideration elsewhere.

The Contemporary Journal of Statistics and Applied Mathematics employs a rigorous blind peer-review process to maintain the highest standards of academic quality. The journal is committed to promoting accessibility and impact, ensuring that its research reaches a global audience.