Aims & Scope

Aims:

Applied Statistical Analysis and Computing (ASAC) is a gold open-access, peer-reviewed journal that aims to publish original, high quality, and cutting-edge research papers and review articles, as well as perspectives and viewpoints on pioneering new statistical methods as well as their applications in different scientific fields. We aim to establish a new journal where contributions from different scientific fields find a new home which will lead to an open discussion and exchange of new ideas and developments that advance the field of statistical research. ASAC is published quarterly online by Scilight Press.

Scope:

ASAC cover a broad and comprehensive range of the field of statistical research. Our priorities lie at the interface of

  • (1) math-oriented applied statistical analysis and computing, including big data analysis, data mining and visualization, predictive modeling, and Monte Carlo methods,
  • (2) innovative algorithms in statistical computing, machine learning for statistical modeling,
  • (3) the application of statistical methods to time-dependent or spatial data, including forecasting, clustering, and anomaly detection, analytical and computational approaches in biostatistics to address problems in biology, epidemiology, and healthcare,
  • (4) applications of statistical techniques to problems in financial data analysis, econometrics, and risk management, as well as quantitative social science applying statistical models to problems in sociology, political science, and other social sciences.

We welcome the submission of high-quality manuscripts subjecting this interdisciplinary field. These include pioneering new statistical methods as well as their applications in different scientific fields.