Computational Statistics《计算统计》（一年8期）. Computational Statistics (CompStat) is an international journal that fosters the publication of applications and methodological research in the field of computational statistics.

Communications in Statistics-Theory and Methods《统计通信：理论与方法》（半月刊）. The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.

Communications in Statistics-Simulation and Computation《统计学通信：模拟与计算》（月刊）. The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.

Brazilian Journal of Probability and Statistics《巴西概率与统计期刊》（季刊）. The Brazilian Journal of Probability and Statistics is an official publication of the Brazilian Statistical Association and is supported by the Institute of Mathematical Statistics (IMS). Starting in 2012, the Journal will publish four issues a year, in February, May, August and December. The Journal publishes papers in applied probability, applied statistics, computational statistics, mathematical statistics, probability theory and stochastic processes.

Combinatorics, Probability and Computing《组合学、概率和计算》（双月刊）. Published bimonthly, Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science.

Chemometrics and Intelligent Laboratory Systems《化学计量学与智能实验系统》（月刊）. Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.

The Canadian Journal of Statistics《加拿大统计期刊》（季刊）. The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics.

Journal of Time Series Analysis《时间序列分析期刊》（双月刊）. The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis. We welcome papers on both fundamental theory and applications in fields such as neurophysiology, astrophysics, economic forecasting, the study of biological data, control systems, signal processing, and communications and vibrations engineering.

Journal of the Royal Statistical Society Series C-Applied Statistics《英国皇家统计学会杂志C辑-应用统计学》（一年5期）. The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world.

Journal of the Royal Statistical Society Series B-Statistical Methodology《英国皇家统计学会杂志B辑——统计方法》（一年5期）. Series B (Statistical Methodology) aims to publish high quality papers on the methodological aspects of statistics and data science more broadly. The objective of papers should be to contribute to the understanding of statistical methodology and/or to develop and improve statistical methods; any mathematical theory should be directed towards these aims.