Extremes《极值》（季刊）. Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged.

Risk Analysis《风险分析》（月刊）. Risk Analysis, published on behalf of the Society for Risk Analysis, is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues.

Psychometrika《心理测量学》（季刊）. Psychometrika, the official journal of the Psychometric Society, is devoted to the development of psychology as a quantitative rational science. Articles examine statistical methods, discuss mathematical techniques, and advance theory for evaluating behavioral data in psychology, education, and the social and behavioral sciences generally. There are three main sections in Psychometrika: Theory and Methods, Application Reviews and Case Studies (ARCS), and Book Reviews. Additionally, there is a section online for software, data, and other electronic supplementary material for the articles in these sections.

Environmetrics《环境计量学》（一年8期）. Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to disseminating high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical models, methods, and theories that solve modern environmental problems.

Spatial Statistics《空间统计》（双月刊）. Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.

Bayesian Analysis《贝叶斯分析》（季刊）. Bayesian Analysis is an electronic journal of the International Society for Bayesian Analysis. It seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; critical reviews and discussions of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining.

Quantitative Finance《量化金融》（月刊）. he frontiers of finance are shifting rapidly, driven in part by the increasing use of quantitative methods in the field. Quantitative Finance welcomes original research articles that reflect the dynamism of this area.

Fractal and Fractional《分形与分数》（月刊）. Fractal and Fractional (ISSN 2504-3110) is an online, peer-reviewed and open access journal, which provides an advanced forum for studies related to fractals and fractional calculus and their applications in different fields of science and engineering; publishing reviews, regular research papers and short notes.

Lifetime Data Analysis《寿命数据分析》（季刊）. Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations research, public health, and social and behavioral sciences.

Mathematical Geosciences《数学地球科学》（一年8期）. Mathematical Geosciences publishes original, high-quality, interdisciplinary papers in geomathematics and related data science, including: Mathematical models, algorithms and computational frameworks, their implementation aspects, and real-life applications. The journal encourages publications emphasizing new developments, concepts and tools in big data and their analytics, processing, integration and assimilation, computational intelligence, machine learning and data-driven modelling, for studies of the Earth, its natural resources and the environment. Publication of method’s code and datasets demonstrating their application are welcome and available as online supplementary material.