Statistics & Probability Letters《统计学与概率论快报》（月刊）. Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.

Statistics《统计学》（双月刊）. Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate.

Statistical Science《统计科学》（季刊）. The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.

Statistical Papers《统计学文集》（一年9期）. Statistical Papers provides a forum for the presentation and critical assessment of statistical methods. In particular, the journal encourages the discussion of methodological foundations as well as potential applications. The journal Statistical Papers addresses itself to all persons and organizations that have to deal with statistical methods in their own field of work. It attempts to provide a forum for the presentation and critical assessment of statistical methods, in particular for the discussion of their methodological foundations as well as their potential applications.

Statistical Modelling《统计建模》（双月刊）. Statistical Modelling: An International Journal is published by SAGE Publications on behalf of the Statistical Modelling Society. It publishes original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling.

Statistical Methods in Medical Research《医学研究统计方法》（月刊）. Statistical Methods in Medical Research is a highly ranked, peer reviewed scholarly journal and is the leading vehicle for articles in all the main areas of medical statistics and therefore an essential reference for all medical statisticians. It is particularly useful for medical researchers dealing with data and provides a key resource for medical and statistical libraries, as well as pharmaceutical companies.

Statistical Methods & Applications《统计方法与应用》（一年5期）. Statistical Methods & Applications (SMA) is the official journal of the Italian Statistical Society. This international journal fosters the development of statistical methodology and statistical learning, and their applications in biological, ecological, demographic, economic, engineering, financial, medical, epidemiological, social, psychometric and other scientific domains. The journal especially welcomes new methods that have broad applications. It also welcomes well-developed applications in the area of data science and non-heuristic developments in the area of machine learning.

Statistical Applications in Genetics and Molecular Biology《遗传学与分子生物学中的统计应用》（双月刊）. Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.

Statistical Analysis and Data Mining《统计分析及数据挖掘》（双月刊）. Statistical Analysis and Data Mining addresses the broad area of data analysis, including statistical approaches, machine learning, data mining, and applications. Topics include statistical and computational approaches for analyzing massive and complex datasets, novel statistical and/or machine learning methods and theory, and state-of-the-art applications with high impact. Of special interest are articles that describe innovative analytical techniques, and discuss their application to real problems, in such a way that they are accessible and beneficial to domain experts across science, engineering, and commerce.

Statistica Sinica《中华统计学志》（季刊）. Statistica Sinica was established in 1991 and is co-sponsored by the Institute of Statistical Science, Academia Sinica (ISSAS), Taiwan & the International Chinese Statistical Association. It is fully funded by ISSAS. It publishes significant and original articles in statistics and data science quarterly in January, April, July and October.